ABOUT THE SPEAKER
Paul Rothemund - DNA origamist
Paul Rothemund folds DNA into shapes and patterns. Which is a simple enough thing to say, but the process he has developed has vast implications for computing and manufacturing -- allowing us to create things we can now only dream of.

Why you should listen

Paul Rothemund won a MacArthur grant this year for a fairly mystifying study area: "folding DNA." It brings up the question: Why fold DNA? The answer is -- because the power to manipulate DNA in this way could change the way we make things at a very basic level.

Rothemund's work combines the study of self-assembly (watch the TEDTalks from Neil Gershenfeld and Saul Griffith for more on this) with the research being done in DNA nanotechnology -- and points the way toward self-assembling devices at microscale, making computer memory, for instance, smaller, faster and maybe even cheaper.

More profile about the speaker
Paul Rothemund | Speaker | TED.com
TED2008

Paul Rothemund: DNA folding, in detail

Paul Rothemund detaliaza plierea ADN-ului

Filmed:
752,456 views

In 2007 Paul Rothemund a prezentat la TED un scurt rezumat al expertizei sale, impaturirea catenelor ADN. Acum el detaliaza imensul potential al acestui domeniu -- crearea de calculatoare minuscule care se auto-asambleaza.
- DNA origamist
Paul Rothemund folds DNA into shapes and patterns. Which is a simple enough thing to say, but the process he has developed has vast implications for computing and manufacturing -- allowing us to create things we can now only dream of. Full bio

Double-click the English transcript below to play the video.

00:12
So, people argueargumenta vigorouslyviguros about the definitiondefiniție of life.
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Oamenii au pareri foarte diferite asupra definitiei vietii.
00:15
They askcere if it should have reproductionreproducere in it, or metabolismmetabolism, or evolutionevoluţie.
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Se intreaba daca ar trebui sa includa reproductie, metabolism, sau evolutie.
00:20
And I don't know the answerRăspuns to that, so I'm not going to tell you.
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Eu nu stiu raspunsul, deci nu vi-l pot spune.
00:22
I will say that life involvesimplică computationcalcul.
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Sustin insa ca viata presupune calcule.
00:25
So this is a computercomputer programprogram.
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Acesta este un program de calculator.
00:27
BootedCizme up in a cellcelulă, the programprogram would executea executa,
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Implementat intr-o celula, programul s-ar executa
00:30
and it could resultrezultat in this personpersoană;
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si ar putea produce aceasta persoana,
00:33
or with a smallmic changeSchimbare, it could resultrezultat in this personpersoană;
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ori cu o mica schimbare ar putea rezulta in aceasta persoana --
00:36
or anothero alta smallmic changeSchimbare, this personpersoană;
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sau cu o alta mica modificare --- aceasta persoana,
00:38
or with a largermai mare changeSchimbare, this dogcâine,
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cu o modificare mai mare, acest caine
00:41
or this treecopac, or this whalebalenă.
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sau acest copac, ori aceasta balena.
00:43
So now, if you take this metaphormetaforă
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Daca iei in serios aceasta metafora
00:45
[of] genomegenomului as programprogram seriouslySerios,
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de a privi genomul ca pe un program,
00:47
you have to considerconsidera that ChrisChris AndersonAnderson
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trebuie sa admiti ca Chris Anderson
00:49
is a computer-fabricatedfabricate de calculator artifactartefact, as is JimJim WatsonWatson,
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e un artefact fabricat de computer, la fel si Jim Watson,
00:52
CraigCraig VenterVenter, as are all of us.
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Craig Venter, si noi toti.
00:55
And in convincingconvingător yourselftu that this metaphormetaforă is trueAdevărat,
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Si ca sa va convingeti ca aceasta metafora este adevarata,
00:57
there are lots of similaritiessimilarități betweenîntre geneticgenetic programsprograme
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considerati numeroasele similaritati
00:59
and computercomputer programsprograme that could help to convinceconvinge you.
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intre programele genetice si cele de calculator.
01:02
But one, to me, that's mostcel mai compellingconvingătoare
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Pentru mine cea mai convingatoare
01:04
is the peculiarciudat sensitivitysensibilitate to smallmic changesschimbări
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e sensibilitatea specifica la variaţii minore
01:07
that can make largemare changesschimbări in biologicalbiologic developmentdezvoltare -- the outputproducție.
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care atrag schimbari majore in dezvoltarea biologica finala.
01:10
A smallmic mutationmutaţie can take a two-wingdouă aripi flya zbura
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O mutatie minora poate transforma o musca cu doua aripi
01:12
and make it a four-wingpatru aripi flya zbura.
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intr-una cu patru aripi.
01:13
Or it could take a flya zbura and put legspicioare where its antennaeantene should be.
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Ori ar putea pune picioruse in locul antenelor.
01:17
Or if you're familiarfamiliar with "The PrincessPrintesa BrideMireasa,"
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Sau daca ti-e cunoscuta povestea "The Princess Bride"
01:19
it could createcrea a six-fingeredşase degete man.
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ar putea crea un om cu sase degete.
01:21
Now, a hallmarkHallmark of computercomputer programsprograme
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Ei bine, o caracteristica a programelor de calculator
01:23
is just this kinddrăguț of sensitivitysensibilitate to smallmic changesschimbări.
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este chiar acest tip de sensibilitate la variatii mici.
01:26
If your bankbancă account'scont pe one dollardolar, and you flipflip- a singlesingur bitpic,
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Daca ai intr-un cont bancar $1 si modifici un singur bit
01:28
you could endSfârşit up with a thousandmie dollarsdolari.
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te poti trezi cu $1.000.
01:30
So these smallmic changesschimbări are things that I think
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Deci, faptul ca mutatii minore
01:33
that -- they indicateindica to us that a complicatedcomplicat computationcalcul
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produc modificari amplificate
01:35
in developmentdezvoltare is underlyingcare stau la baza these amplifiedamplificat, largemare changesschimbări.
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indica prezenta unui proces complex de procesare.
01:39
So now, all of this indicatesindică that there are molecularmolecular programsprograme underlyingcare stau la baza biologybiologie,
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Toate acestea demonstreaza ca exista programe moleculare la baza biologiei
01:45
and it showsspectacole the powerputere of molecularmolecular programsprograme -- biologybiologie does.
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a caror putere ne-o demonstreaza biologia.
01:49
And what I want to do is writescrie molecularmolecular programsprograme,
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Si ce vreau eu sa fac e sa scriu programe moleculare
01:51
potentiallypotenţial to buildconstrui technologytehnologie.
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cu potential in dezvoltarea de tehnologie.
01:53
And there are a lot of people doing this,
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Exista o multime de oameni care fac acest lucru,
01:54
a lot of syntheticsintetic biologistsbiologi doing this, like CraigCraig VenterVenter.
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o multime de biologi de sinteza cum e Craig Venter,
01:57
And they concentrateconcentra on usingutilizând cellscelulele.
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care insa se concentreaza pe utilizarea intregii celule.
01:59
They're cell-orientedorientate pe mobil.
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Ei se focalizeaza pe celula in intregime.
02:01
So my friendsprieteni, molecularmolecular programmersprogramatori, and I
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Dar eu si prietenii mei, programatori moleculari,
02:03
have a sortfel of biomolecule-centricbiomolecule-centrice approachabordare.
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avem o abordare cu pornire de la bio-molecule.
02:05
We're interestedinteresat in usingutilizând DNAADN-UL, RNAARN and proteinproteină,
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Suntem interesati in utilizarea de ADN, ARN si proteine
02:08
and buildingclădire newnou languageslimbi for buildingclădire things from the bottomfund up,
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si in implementarea de noi limbi de programare
02:11
usingutilizând biomoleculesbiomolecule,
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pentru construirea de jos in sus, folosind bio-molecule,
02:12
potentiallypotenţial havingavând nothing to do with biologybiologie.
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cu posibilitatea de a nu avea nimic de-a face cu biologia.
02:15
So, these are all the machinesmaşini in a cellcelulă.
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Acestea sunt toate mecanismele dintr-o celula.
02:19
There's a cameraaparat foto.
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Exista un aparat de fotografiat.
02:21
There's the solarsolar panelspanouri of the cellcelulă,
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Exista panourile solare ale celulei,
02:22
some switchesîntrerupătoare that turnviraj your genesgene on and off,
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intrerupatoare care aprind sau sting genele,
02:24
the girdersgrinzile of the cellcelulă, motorsmotoare that movemișcare your musclesmușchi.
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grinzi ale celulei, motoare care misca muschii.
02:27
My little groupgrup of molecularmolecular programmersprogramatori
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Echipa mea de programatori moleculari
02:29
are tryingîncercat to refashionrefasona all of these partspărți from DNAADN-UL.
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incearca sa refasoneze toate aceste parti folosind ADN.
02:33
We're not DNAADN-UL zealotsfanaticii, but DNAADN-UL is the cheapestcele mai ieftine,
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Nu suntem fanatici ai ADN-ului, dar ADN-ul e cel mai ieftin,
02:35
easiestCel mai simplu to understanda intelege and easyuşor to programprogram materialmaterial to do this.
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cel mai usor de inteles si e un material simplu de programat.
02:38
And as other things becomedeveni easierMai uşor to use --
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Si pe masura ce alte lucruri devin mai usor de utilizat --
02:40
maybe proteinproteină -- we'llbine work with those.
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poate proteine -- vom lucra cu acelea în viitor.
02:43
If we succeeda reusi, what will molecularmolecular programmingprogramare look like?
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Si daca reusim, in ce va consta programarea moleculara?
02:45
You're going to sitsta in frontfață of your computercomputer.
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Veti sta in fata calculatorului.
02:47
You're going to designproiecta something like a cellcelulă phonetelefon,
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Veti concepe ceva de genul unui telefon mobil
02:49
and in a high-levelnivel inalt languagelimba, you'llveți describedescrie that cellcelulă phonetelefon.
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si, intr-un limbaj de nivel inalt, veti descrie acel telefon mobil.
02:51
Then you're going to have a compilercompilator
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Apoi veti avea un compilator
02:53
that's going to take that descriptionDescriere
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care va implementa acest program de descriere
02:54
and it's going to turnviraj it into actualreal moleculesmolecule
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si-l va transforma in bio-molecule reale,
02:56
that can be senttrimis to a synthesizersintetizator
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care pot fi trimise la un sintetizator
02:58
and that synthesizersintetizator will packambalaj those moleculesmolecule into a seedsămânță.
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unde moleculele vor fi impachetate intr-o samanta.
03:01
And what happensse întâmplă if you waterapă and feeda hrani that seedsămânță appropriatelyîn mod corespunzător,
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Si ce se intampla daca uzi si hranesti acea samanta cum trebuie,
03:04
is it will do a developmentaldezvoltare computationcalcul,
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este ca va face un calcul de dezvoltare,
03:06
a molecularmolecular computationcalcul, and it'llO să buildconstrui an electronicelectronic computercomputer.
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un calcul molecular, si va construi un computer electronic.
03:09
And if I haven'tnu au revealeddezvăluit my prejudicesprejudecăţi alreadydeja,
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Si daca nu mi-am dat inca de gol prejudecatile
03:12
I think that life has been about molecularmolecular computerscalculatoare
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consider ca viata se poate reduce la computere moleculare
03:14
buildingclădire electrochemicalelectrochimice computerscalculatoare,
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care construiesc computere electrochimice
03:16
buildingclădire electronicelectronic computerscalculatoare,
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care construiesc computere electronice
03:18
whichcare togetherîmpreună with electrochemicalelectrochimice computerscalculatoare
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care impreuna cu computerele electrochimice
03:20
will buildconstrui newnou molecularmolecular computerscalculatoare,
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vor construi computere moleculare noi
03:22
whichcare will buildconstrui newnou electronicelectronic computerscalculatoare, and so forthmai departe.
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care vor construi noi computere electronice si asa mai departe.
03:25
And if you buya cumpara all of this,
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Si daca esti de acord cu toate astea,
03:26
and you think life is about computationcalcul, as I do,
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si crezi ca viata e in intregime calcul, asa cum fac eu,
03:28
then you look at bigmare questionsîntrebări throughprin the eyesochi of a computercomputer scientistom de stiinta.
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atunci privesti intrebarile vitale prin ochii unui programator.
03:31
So one bigmare questionîntrebare is, how does a babybebelus know when to stop growingcreştere?
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Deci o intrebare importanta e, cum ştie copilul cand sa nu mai creasca?
03:35
And for molecularmolecular programmingprogramare,
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Pentru un programator molecular,
03:37
the questionîntrebare is how does your cellcelulă phonetelefon know when to stop growingcreştere?
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intrebarea e: cum stie telefonul tau cand sa se opreasca din creştere?
03:39
(LaughterRâs)
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(Rasete)
03:40
Or how does a computercomputer programprogram know when to stop runningalergare?
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Sau cum stie un program de calculator cand sa se opreasca?
03:43
Or more to the pointpunct, how do you know if a programprogram will ever stop?
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Ori si mai concret, cum stim daca se va opri vreodata?
03:46
There are other questionsîntrebări like this, too.
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Mai exista si alt gen de intrebari.
03:48
One of them is CraigCraig Venter'sVenter pe questionîntrebare.
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Una dintre ele e intrebarea lui Craig Venter.
03:50
TurnsSe transformă out I think he's actuallyde fapt a computercomputer scientistom de stiinta.
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De fapt se pare ca el gandeste ca un programator.
03:52
He askedîntrebă, how bigmare is the minimalminim genomegenomului
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El a intrebat cat de mare trebuie sa fie genomul minim
03:55
that will give me a functioningfuncționare microorganismmicroorganism?
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care ar genera un microorganism funcţional.
03:57
How fewpuțini genesgene can I use?
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Cat de putine gene pot folosi?
03:59
This is exactlyexact analogousanalog to the questionîntrebare,
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Asta e similara cu intrebarea
04:01
what's the smallestcel mai mic programprogram I can writescrie
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care-i cel mai mic program pe care-l pot scrie
04:02
that will actact exactlyexact like MicrosoftMicrosoft WordCuvântul?
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care sa opereze exact ca Microsoft Word ?
04:04
(LaughterRâs)
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(Rasete)
04:05
And just as he's writingscris, you know, bacteriabacterii that will be smallermai mic,
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Si la fel cum el concepe, stiti, bacterii care vor fi mai mici,
04:09
he's writingscris genomesgenomilor that will work,
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concepe genomuri care vor functiona,
04:10
we could writescrie smallermai mic programsprograme
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noi am putea scrie programe mai mici
04:12
that would do what MicrosoftMicrosoft WordCuvântul does.
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care sa functioneze ca Microsoft Word.
04:14
But for molecularmolecular programmingprogramare, our questionîntrebare is,
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Insa in cazul programarii moleculare, intrebarea devine
04:16
how manymulți moleculesmolecule do we need to put in that seedsămânță to get a cellcelulă phonetelefon?
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cate molecule trebuie sa impachetam intr-o samanta pentru a obtine un celular.
04:20
What's the smallestcel mai mic numbernumăr we can get away with?
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Care-i cel mai mic numar cu care ne-am putea descurca?
04:22
Now, these are bigmare questionsîntrebări in computercomputer scienceştiinţă.
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Acestea sunt intrebari complexe,
04:24
These are all complexitycomplexitate questionsîntrebări,
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iar stiinta calculatoarelor confirma
04:26
and computercomputer scienceştiinţă tellsspune us that these are very hardgreu questionsîntrebări.
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ca acestea sunt intrebari foarte grele.
04:28
AlmostAproape -- manymulți of them are impossibleimposibil.
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Multe dintre ele par intrebari imposibile.
04:30
But for some taskssarcini, we can startstart to answerRăspuns them.
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Dar pentru unele din ele putem incepe sa raspundem.
04:33
So, I'm going to startstart askingcer those questionsîntrebări
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Deci, voi incepe sa pun acele intrebari
04:34
for the DNAADN-UL structuresstructuri I'm going to talk about nextUrmător →.
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pentru structurile ADN de care voi vorbi in continuare.
04:37
So, this is normalnormal DNAADN-UL, what you think of as normalnormal DNAADN-UL.
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Acesta este ADN-ul normal.
04:40
It's double-strandeddublu-stranded, it's a doubledubla helixspirală,
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E un helix cu catena dubla,
04:42
has the As, TsTS, CsCS and GsGS that pairpereche to holddeține the strandsdirecţii de acţiune togetherîmpreună.
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in care bazele A, T, C si G se cupleaza pentru a sustine helixul.
04:45
And I'm going to drawa desena it like this sometimesuneori,
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Si il voi desena uneori liniar, simplificat
04:47
just so I don't scarea speria you.
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ca sa nu va sperii.
04:49
We want to look at individualindividual strandsdirecţii de acţiune and not think about the doubledubla helixspirală.
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Vrem sa ne uitam la catene singulare si nu la helixul dublu.
04:52
When we synthesizesintetiza it, it comesvine single-strandedsingur-stranded,
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Cand il sintetizam il obtinem sub forma mono-catenara,
04:55
so we can take the bluealbastru strandStrand in one tubetub
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astfel incat putem sintetiza lantul albastru intr-un tub
04:58
and make an orangeportocale strandStrand in the other tubetub,
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si lantul portocaliu in alt tub.
05:00
and they're floppyfloppy when they're single-strandedsingur-stranded.
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Lanturile ADN cand sunt mono-catenare sunt flexibile.
05:02
You mixamesteca them togetherîmpreună and they make a rigidrigide doubledubla helixspirală.
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Doar cand le amesteci se cupleaza intr-un helix dublu rigid.
05:05
Now for the last 25 yearsani,
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Ei bine, in ultimii 25 de ani,
05:07
NedNed SeemanSeeman and a bunchbuchet of his descendantsurmasi
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Ned Seeman si multi din urmasii lui
05:09
have workeda lucrat very hardgreu and madefăcut beautifulfrumoasa three-dimensionaltri-dimensională structuresstructuri
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au lucrat din greu si au realizat frumoase structuri tridimensionale
05:12
usingutilizând this kinddrăguț of reactionreacţie of DNAADN-UL strandsdirecţii de acţiune comingvenire togetherîmpreună.
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folosind acest tip de reactie de cuplare a secventelor monocatenare de ADN.
05:15
But a lot of theiral lor approachesabordari, thoughdeşi elegantelegant, take a long time.
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Dar multe din metodele lor, desi elegante, sunt laborioase.
05:18
They can take a couplecuplu of yearsani, or it can be difficultdificil to designproiecta.
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Pot dura si doi ani iar design-ul poate fi dificil de programat.
05:21
So I camea venit up with a newnou methodmetodă a couplecuplu of yearsani agoîn urmă
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Asa ca acum doi ani am inventat o metoda noua,
05:24
I call DNAADN-UL origamiOrigami
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o numesc ADN-origami,
05:25
that's so easyuşor you could do it at home in your kitchenbucătărie
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care-i atat de simpla ca ati putea-o folosi acasa, in bucatarie
05:27
and designproiecta the stuffchestie on a laptoplaptop.
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si-ati putea programa totul pe un laptop.
05:29
But to do it, you need a long, singlesingur strandStrand of DNAADN-UL,
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Dar pentru asta aveti nevoie de un lant lung monocatenar de ADN,
05:32
whichcare is technicallytehnic very difficultdificil to get.
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care e, tehnic vorbind, foarte dificil de obtinut.
05:34
So, you can go to a naturalnatural sourcesursă.
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In schimb, poti cauta o sursa naturala.
05:36
You can look in this computer-fabricatedfabricate de calculator artifactartefact,
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Te poti uita la acest artefact fabricat-de-computer
05:38
and he's got a double-strandeddublu-stranded genomegenomului -- that's no good.
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dar este dublu-catenar asa ca nu ne e folositor.
05:40
You look in his intestinesintestinele. There are billionsmiliarde of bacteriabacterii.
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Te poti uita in intestinele lui. Sunt miliarde de bacterii.
05:43
They're no good eitherfie.
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Nici astea nu sunt bune.
05:45
DoubleDublu strandStrand again, but insideinterior them, they're infectedinfectate with a virusvirus
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Din nou dublu-catenare, dar in interior sunt infectate cu un virus
05:47
that has a nicefrumos, long, single-strandedsingur-stranded genomegenomului
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al carui genom e un frumos lant lung de ADN-singular
05:50
that we can foldplia like a piecebucată of paperhârtie.
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pe care-l putem impaturi ca pe o bucata de hartie.
05:52
And here'saici e how we do it.
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Si iata cum facem.
05:53
This is partparte of that genomegenomului.
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Acesta e o parte din acel genom.
05:54
We addadăuga a bunchbuchet of shortmic de statura, syntheticsintetic DNAsDNAs that I call staplescapse.
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Adaugam o gramada de ADN-uri sintetice scurte, pe care le numesc capse.
05:57
EachFiecare one has a left halfjumătate that bindsse leagă the long strandStrand in one placeloc,
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Jumatatea stanga a fiecarei capse se leaga de catena lunga intr-un loc
06:01
and a right halfjumătate that bindsse leagă it in a differentdiferit placeloc,
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si jumatatea dreapta se leaga intr-un loc diferit
06:04
and bringsaduce the long strandStrand togetherîmpreună like this.
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si impatureste firul lung de ADN singular asa.
06:07
The netnet actionacțiune of manymulți of these on that long strandStrand
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Efectul final al multor capse asupra acelei monocatene lungi
06:09
is to foldplia it into something like a rectangledreptunghi.
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este o impaturire asemanatoare unui dreptunghi.
06:11
Now, we can't actuallyde fapt take a moviefilm of this processproces,
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Din pacate nu putem filma acest proces efectiv,
06:13
but ShawnShawn DouglasDouglas at HarvardHarvard
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dar Shawn Douglas la Harvard
06:15
has madefăcut a nicefrumos visualizationvizualizare for us
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ne-a facut o frumoasa vizualizare virtuala,
06:17
that beginsîncepe with a long strandStrand and has some shortmic de statura strandsdirecţii de acţiune in it.
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care incepe cu un lant ADN lung si are cateva catene scurte.
06:21
And what happensse întâmplă is that we mixamesteca these strandsdirecţii de acţiune togetherîmpreună.
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Apoi aceste catene lungi si scurte se amesteca impreuna.
06:25
We heatcăldură them up, we addadăuga a little bitpic of saltsare,
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Le incalzim, adaugam un pic de sare,
06:27
we heatcăldură them up to almostaproape boilingfierbere and coolmisto them down,
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le incalzim pana aproape de fierbere si apoi le racim.
06:29
and as we coolmisto them down,
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In timp ce se racesc,
06:30
the shortmic de statura strandsdirecţii de acţiune bindlega the long strandsdirecţii de acţiune
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capsele scurte se prind de catena lunga
06:32
and startstart to formformă structurestructura.
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si incep sa formeze structura;
06:34
And you can see a little bitpic of doubledubla helixspirală formingformare there.
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si vedeti cum incepe sa se formeze un helix dublu acolo.
06:38
When you look at DNAADN-UL origamiOrigami,
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Cand te uiti la acest ADN-origami,
06:40
you can see that what it really is,
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poti vedea ce este in realitate,
06:43
even thoughdeşi you think it's complicatedcomplicat,
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si chiar daca pare complicat,
06:44
is a bunchbuchet of doubledubla heliceshelices that are parallelparalel to eachfiecare other,
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nu-i decat o gramada de helixuri duble paralele între ele,
06:47
and they're helda avut loc togetherîmpreună
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care sunt legate de coturi
06:49
by placeslocuri where shortmic de statura strandsdirecţii de acţiune go alongde-a lungul one helixspirală
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unde unele capse scurte se leaga de o spirala
06:51
and then jumpa sari to anothero alta one.
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si apoi sar la alta.
06:53
So there's a strandStrand that goesmerge like this, goesmerge alongde-a lungul one helixspirală and bindsse leagă --
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Iata o capsa care merge de-a lungul unei spirale
06:56
it jumpssalturi to anothero alta helixspirală and comesvine back.
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si apoi sare la un alt helix si face un cot in forma de U,
06:58
That holdsdeține the long strandStrand like this.
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si tine lantul lung de ADN asa.
07:00
Now, to showspectacol that we could make any shapeformă or patternmodel
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Pentru a demonstra ca putem asambla orice forma sau model
07:03
that we wanted, I triedîncercat to make this shapeformă.
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dorim, am incercat sa asamblez forma asta.
07:06
I wanted to foldplia DNAADN-UL into something that goesmerge up over the eyeochi,
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Am vrut sa impaturesc ADN-ul in ceva care se infasoara
07:08
down the nosenas, up the nosenas, around the foreheadfrunte,
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in jurul ochiului, nasului, in jurul fruntii,
07:11
back down and endSfârşit in a little loopbuclă like this.
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inapoi in jos si se incheie intr-o mica bucla.
07:14
And so, I thought, if this could work, anything could work.
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M-am gandit ca daca aceasta forma se poate programa, orice altceva se poate.
07:17
So I had the computercomputer programprogram designproiecta the shortmic de statura staplescapse to do this.
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Deci cu ajutorul computerului am programat capsele necesare pentru a face asta.
07:20
I orderedordonat them; they camea venit by FedExFedEx.
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Le-am comandat, au venit prin FedEx.
07:22
I mixedamestecat them up, heatedîncălzit them, cooledrăcit them down,
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Le-am amestecat, le-am incalzit, le-am racit,
07:24
and I got 50 billionmiliard little smileySmiley facesfețe
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si am obtinut 50 miliarde de ‘feţe zâmbitoare’ microscopice
07:28
floatingplutitor around in a singlesingur dropcădere brusca of waterapă.
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plutind toate intr-o singura picatura de apa.
07:30
And eachfiecare one of these is just
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Fiecare dintre acestea este doar
07:32
one-thousandthO miime the widthlăţime of a humanuman hairpăr, OK?
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o miime din latimea unui fir de par uman, bine?
07:36
So, they're all floatingplutitor around in solutionsoluţie, and to look at them,
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Deci, toate plutesc in solutie si pentru a te uita la ele,
07:39
you have to get them on a surfacesuprafaţă where they stickbăț.
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trebuie aduse pe o suprafata uscata de care sa se lipeasca.
07:41
So, you pourturna them out ontope a surfacesuprafaţă
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Le torni pe o suprafaţa,
07:43
and they startstart to stickbăț to that surfacesuprafaţă,
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ele incep sa se prinda pe acea suprafata,
07:45
and we take a pictureimagine usingutilizând an atomic-forceforță atomică microscopemicroscop.
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si facem o poza folosind un microscop de forta atomica (AFM).
07:47
It's got a needleac, like a recordrecord needleac,
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Acesta are un ac, ca un ac de inregistrat,
07:49
that goesmerge back and forthmai departe over the surfacesuprafaţă,
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care merge inainte si inapoi, pe deasupra suprafetei,
07:51
bumpsumflaturi up and down, and feelsse simte the heightînălţime of the first surfacesuprafaţă.
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gliseaza in sus si in jos si apreciaza inaltimea suprafetei.
07:54
It feelsse simte the DNAADN-UL origamiOrigami.
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'Simte' ADN-ul origami.
07:56
There's the atomic-forceforță atomică microscopemicroscop workinglucru
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Iata microscopul atomic la lucru,
07:59
and you can see that the landing'saterizare pe a little roughstare brută.
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puteti vedea ca aterizarea e putin cam dura.
08:00
When you zoomzoom in, they'vele-au got, you know,
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Cand focalizam, au, dupa cum vedeti,
08:02
weakslab jawsfălci that flipflip- over theiral lor headsCapete
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unele maxilare sparte si rasucite deasupra capetelor,
08:03
and some of theiral lor nosesnasurile get punchedpocnit out, but it's prettyfrumos good.
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iar unele dintre nasuri sunt busite, dar in general e destul de bine.
08:06
You can zoomzoom in and even see the extrasuplimentar little loopbuclă,
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Puteti focaliza si vedea chiar mica bucla,
08:08
this little nano-goateeNano-cioc.
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acest nano-cioculet mititel.
08:10
Now, what's great about this is anybodycineva can do this.
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Ce-i grozav la acest procedeu este ca oricine poate face asta.
08:13
And so, I got this in the mailPoștă about a yearan after I did this, unsolicitednesolicitate.
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Si deci am primit asta in posta cam la un an dupa ce-am facut asta, nesolicitat.
08:17
AnyoneOricine know what this is? What is it?
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Stie cineva ce este asta? Ce este?
08:20
It's ChinaChina, right?
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E harta Chinei, nu-i asa?
08:22
So, what happeneds-a întâmplat is, a graduateabsolvent studentstudent in ChinaChina,
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Deci, ce s-a intamplat este ca o studenta din China,
08:24
LuluLulu QianQian, did a great jobloc de munca.
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Lulu Qian, a facut o treaba grozava.
08:26
She wrotea scris all her ownpropriu softwaresoftware-ul
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Si-a programat propriul ei software
08:28
to designproiecta and builtconstruit this DNAADN-UL origamiOrigami,
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ca sa proiecteze si sa asambleze acest origami ADN,
08:30
a beautifulfrumoasa renditionextrădare of ChinaChina, whichcare even has TaiwanTaiwan,
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o frumoasa reprezentare a Chinei, care are chiar si Taiwan-ul,
08:33
and you can see it's sortfel of on the world'slume shortestmai scurt leashlesa, right?
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dupa cum vedeti legat prin cea mai scurta lesa din lume, corect?
08:36
(LaughterRâs)
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(Rasete)
08:39
So, this workslucrări really well
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Deci, asta functioneaza foarte bine,
08:41
and you can make patternsmodele as well as shapesforme, OK?
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poti construi diferite modele si forme.
08:44
And you can make a mapHartă of the AmericasAmericas and spellvraja DNAADN-UL with DNAADN-UL.
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Poti face o harta a Americilor si poti scrie literele ADN folosind ADN.
08:47
And what's really neatcurat about it --
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Si ce este cu adevarat elegant –
08:50
well, actuallyde fapt, this all looksarată like nano-artworkNano-Opera de arta,
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e ca toate astea arata ca o nano-opera-de-arta,
08:52
but it turnstransformă out that nano-artworkNano-Opera de arta
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dar se pare ca nano-operele-de-arta
08:53
is just what you need to make nano-circuitsnano-circuite.
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sunt exact ce ai nevoie pentru a face nano-circuite.
08:55
So, you can put circuitcircuit componentscomponente on the staplescapse,
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Deci, poti atasa componente de circuit pe capse,
08:57
like a lightușoară bulbbec and a lightușoară switchintrerupator.
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cum ar fi un bec electric si un intrerupator.
08:59
Let the thing assembleasambla, and you'llveți get some kinddrăguț of a circuitcircuit.
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Lasa-le sa se asambleze si vei obtine un fel de circuit.
09:02
And then you can maybe washspalare the DNAADN-UL away and have the circuitcircuit left over.
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Si apoi poti spala ADN-ul remanent si ce ramane e circuitul.
09:05
So, this is what some colleaguescolegii of mineA mea at CaltechCaltech did.
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Exact asta au facut niste colegi de-ai mei de la Caltech.
09:07
They tooka luat a DNAADN-UL origamiOrigami, organizedorganizat some carboncarbon nano-tubesnano-tuburi,
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Au luat un origami ADN, au organizat niste nano-tuburi de carbon,
09:10
madefăcut a little switchintrerupator, you see here, wiredcu fir it up,
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au facut un mic comutator, l-au legat,
09:12
testedtestat it and showeda arătat that it is indeedintr-adevar a switchintrerupator.
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l-au testat si au aratat ca este intr-adevar un comutator.
09:15
Now, this is just a singlesingur switchintrerupator
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Ei bine, acesta e doar un singur comutator
09:17
and you need halfjumătate a billionmiliard for a computercomputer, so we have a long way to go.
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si e nevoie de o jumatate de miliard pentru un computer, deci avem mult de mers.
09:21
But this is very promisingpromițător
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Dar e foarte promitator,
09:23
because the origamiOrigami can organizeorganiza partspărți just one-tentho zecime the sizemărimea
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intrucat cu origami se pot organiza piese de doar o zecime din dimensiunea
09:28
of those in a normalnormal computercomputer.
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celor dintr-un computer normal.
09:29
So it's very promisingpromițător for makingluare smallmic computerscalculatoare.
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Deci, metoda e foarte promitatoare pentru a face computere mici.
09:32
Now, I want to get back to that compilercompilator.
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Acum, vreau sa ma intorc la compilator.
09:35
The DNAADN-UL origamiOrigami is a proofdovadă that that compilercompilator actuallyde fapt workslucrări.
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ADN-origami este o dovada ca de fapt compilatorul functioneaza.
09:39
So, you startstart with something in the computercomputer.
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Deci, se incepe cu programul in calculator.
09:41
You get a high-levelnivel inalt descriptionDescriere of the computercomputer programprogram,
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Se obtine o descriere in limbaj de programare de înalt nivel,
09:44
a high-levelnivel inalt descriptionDescriere of the origamiOrigami.
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o descriere a acestui origami.
09:46
You can compilecompila it to moleculesmolecule, sendtrimite it to a synthesizersintetizator,
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Poti sa-l compilezi si sa obtii astfel moleculele, sa le trimiţi la un sintetizator
09:49
and it actuallyde fapt workslucrări.
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si chiar functioneaza.
09:50
And it turnstransformă out that a companycompanie has madefăcut a nicefrumos programprogram
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Si se pare ca o companie a facut un program frumos,
09:54
that's much better than my codecod, whichcare was kinddrăguț of uglyurât,
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care e mult mai bun decat codul meu, care era cam urat,
09:56
and will allowpermite us to do this in a nicefrumos,
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care ne va permite sa facem intr-un mod elegant
09:57
visualvizual, computer-aidedasistată de calculator designproiecta way.
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acest gen de design asistat de calculator.
10:00
So, now you can say, all right,
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Deci, acum ai putea intreba, bine,
10:01
why isn't DNAADN-UL origamiOrigami the endSfârşit of the storypoveste?
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de ce nu este ADN-origami sfarsitul povestii ?
10:03
You have your molecularmolecular compilercompilator, you can do whateverindiferent de you want.
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Ai compilatorul molecular, poti programa orice vrei.
10:05
The factfapt is that it does not scalescară.
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In realitate metoda nu se aplica bine la scara mare.
10:08
So if you want to buildconstrui a humanuman from DNAADN-UL origamiOrigami,
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Daca vrei sa construiesti un om din ADN-origami,
10:11
the problemproblemă is, you need a long strandStrand
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problema e ca trebuie sa pornesti de la un lant lung
10:13
that's 10 trilliontrilion trilliontrilion basesbaze long.
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de 10 trilioane de trilioane de baze.
10:16
That's threeTrei lightușoară years'ani' worthin valoare de of DNAADN-UL,
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Asta-i egal cu trei ani lumina de ADN,
10:18
so we're not going to do this.
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deci nu vom face asta.
10:20
We're going to turnviraj to anothero alta technologytehnologie,
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In schimb vom considera o alta tehnologie
10:22
calleddenumit algorithmicalgoritmice self-assemblyauto-asamblare of tilesgresie.
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numita auto-asamblare algoritmica de dale.
10:24
It was starteda început by ErikErik WinfreeWinfree,
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Tehnologia a fost initiata de Erik Winfree,
10:26
and what it does,
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si ce face ea,
10:27
it has tilesgresie that are a hundredthsutime the sizemărimea of a DNAADN-UL origamiOrigami.
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are dale care sunt a suta parte din marimea unui ADN-origami.
10:31
You zoomzoom in, there are just fourpatru DNAADN-UL strandsdirecţii de acţiune
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Fiecare placuta e alcatuita din patru secvente de ADN
10:34
and they have little single-strandedsingur-stranded bitsbiți on them
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si acestea au bucatele mono-catenate pe ele
10:36
that can bindlega to other tilesgresie, if they matchMeci.
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care se pot lipi de alte dale daca se potrivesc.
10:38
And we like to drawa desena these tilesgresie as little squarespătrate.
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Pentru simplificare reprezentam aceste dale ca patratele.
10:42
And if you look at theiral lor stickylipicios endscapete, these little DNAADN-UL bitsbiți,
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Daca te uiti la capetele lipicioase ale acestor bucatele de ADN
10:44
you can see that they actuallyde fapt formformă a checkerboardtablă de şah patternmodel.
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vezi ca formeaza de fapt o structura ca tabla de sah.
10:47
So, these tilesgresie would make a complicatedcomplicat, self-assemblingAuto-asamblare checkerboardtablă de şah.
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Deci, aceste placi se auto-asambleaza intr-o tabla de sah complicata.
10:50
And the pointpunct of this, if you didn't catchcaptură that,
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Esentialul este, in caz ca nu v-ati dat seama,
10:52
is that tilesgresie are a kinddrăguț of molecularmolecular programprogram
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ca aceste placute asamblate sunt un fel de program molecular
10:55
and they can outputproducție patternsmodele.
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care poate crea modele.
10:58
And a really amazinguimitor partparte of this is
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Si o parte cu adevarat uimitoare a acestui fapt
11:00
that any computercomputer programprogram can be translatedtradus
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e ca orice program de calculator poate fi tradus
11:02
into one of these tileţiglă programsprograme -- specificallyspecific, countingsocoteală.
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intr-un astfel de program de placute ADN -- cum ar fi un algoritm de numarare.
11:05
So, you can come up with a seta stabilit of tilesgresie
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Deci, puteti asambla un set de placute ADN
11:08
that when they come togetherîmpreună, formformă a little binarybinar countertejghea
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care alcatuiesc mai degraba un mic sistem de numaratoare binara
11:11
rathermai degraba than a checkerboardtablă de şah.
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decat o tabla de sah.
11:13
So you can readcitit off binarybinar numbersnumerele fivecinci, sixşase and sevenȘapte.
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Astfel puteti citi numere binare, cinci, şase şi şapte.
11:16
And in orderOrdin to get these kindstipuri of computationscalcule starteda început right,
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Ca sa pornim corect acest gen de calcule,
11:19
you need some kinddrăguț of inputintrare, a kinddrăguț of seedsămânță.
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avem nevoie de date de intrare, un fel de samanta.
11:21
You can use DNAADN-UL origamiOrigami for that.
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Putem folosi ADN-origami pentru asta.
11:23
You can encodecodifica the numbernumăr 32
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Codificam numarul 32
11:25
in the right-handmana dreapta sidelatură of a DNAADN-UL origamiOrigami,
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in partea dreapta a unui ADN-origami
11:27
and when you addadăuga those tilesgresie that countnumara,
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si cand adaugam acele placute care numara
11:29
they will startstart to countnumara -- they will readcitit that 32
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ele vor incepe sa numere, sa citeasca acel 32
11:32
and they'llei vor stop at 32.
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si se vor opri la 32.
11:34
So, what we'vene-am doneTerminat is we'vene-am figuredimaginat out a way
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Deci, ce am realizat este ca am gasit o metoda
11:37
to have a molecularmolecular programprogram know when to stop going.
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de a determina un program molecular sa stie cand sa se opreasca din crestere.
11:40
It knowsștie when to stop growingcreştere because it can countnumara.
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Stie cand sa se opreasca din crestere pentru ca stie sa numere.
11:42
It knowsștie how bigmare it is.
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Stie cat este de mare.
11:44
So, that answersrăspunsuri that sortfel of first questionîntrebare I was talkingvorbind about.
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Prin urmare, asta raspunde la acea prima intrebare pe care am mentionat-o.
11:47
It doesn't tell us how babiescopii do it, howeverin orice caz.
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Nu ne spune insa cum stiu copiii sa se opreasca din crestere.
11:50
So now, we can use this countingsocoteală to try and get at much biggermai mare things
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Acum, putem folosi aceasta numarare pentru a asambla sisteme mult mai mari
11:54
than DNAADN-UL origamiOrigami could otherwisein caz contrar.
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decat am fi putut cu metoda ADN-origami.
11:55
Here'sAici este the DNAADN-UL origamiOrigami, and what we can do
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Aici e o structura ADN-origami, ce putem face,
11:58
is we can writescrie 32 on bothambii edgesmargini of the DNAADN-UL origamiOrigami,
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putem scrie cate un 32 la ambele margini ale ADN-ului origami
12:01
and we can now use our wateringadăpare can
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iar apoi folosind stropitoarea
12:03
and waterapă with tilesgresie, and we can startstart growingcreştere tilesgresie off of that
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si adaugand dale si putem sa initiem o crestere cu ajutorul placutelor
12:07
and createcrea a squarepătrat.
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si sa cream un patrat.
12:09
The countertejghea servesservește as a templateșablon
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Contorul serveste ca un sablon
12:12
to fillcompletati in a squarepătrat in the middlemijloc of this thing.
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care umple acest patrat in mijloc.
12:14
So, what we'vene-am doneTerminat is we'vene-am succeededreușit
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Prin urmare am reusit sa cream
12:15
in makingluare something much biggermai mare than a DNAADN-UL origamiOrigami
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ceva de marime mult mai mare decat un ADN origami
12:18
by combiningcombinând DNAADN-UL origamiOrigami with tilesgresie.
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prin combinarea de ADN-origami cu dale.
12:21
And the neatcurat thing about it is, is that it's alsode asemenea reprogrammablereprogramabili.
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Si partea frumoasa e ca acestea sunt reprogramabile.
12:24
You can just changeSchimbare a couplecuplu of the DNAADN-UL strandsdirecţii de acţiune in this binarybinar representationreprezentare
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Prin schimbarea a doua catene de ADN in aceasta reprezentare binara
12:28
and you'llveți get 96 rathermai degraba than 32.
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se obtine o latura de 96 in loc de 32.
12:31
And if you do that, the origami'sOrigami pe the samela fel sizemărimea,
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Si daca faci asta, AND-ul origami e de aceeasi marime,
12:34
but the resultingRezultate squarepătrat that you get is threeTrei timesori biggermai mare.
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dar patratul final e de trei ori mai mare.
12:39
So, this sortfel of recapitulatesrecapitulates
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Sa recapitulam acum ce va spuneam
12:40
what I was tellingspune you about developmentdezvoltare.
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depre cresterea programata.
12:42
You have a very sensitivesensibil computercomputer programprogram
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Aveti un program de computer foarte sensibil
12:45
where smallmic changesschimbări -- singlesingur, tinyminuscul, little mutationsmutații --
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unde schimbari minore -- mutaţii singulare, minore ---
12:48
can take something that madefăcut one sizemărimea squarepătrat
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pot lua ceva care a facut un patrat de o anumita marime
12:50
and make something very much biggermai mare.
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si face o structura mult mai mare.
12:54
Now, this -- usingutilizând countingsocoteală to computecalcula
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Acum, folosirea acestui gen de algoritm
12:57
and buildconstrui these kindstipuri of things
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si asamblarea acestui gen de structuri
12:59
by this kinddrăguț of developmentaldezvoltare processproces
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prin acest proces de augmentare
13:01
is something that alsode asemenea has bearingținând on CraigCraig Venter'sVenter pe questionîntrebare.
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ne ajuta sa raspundem si la intrebarea lui Craig Venter.
13:05
So, you can askcere, how manymulți DNAADN-UL strandsdirecţii de acţiune are requirednecesar
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Deci, puteti intreba, cate catene de ADN sunt necesare
13:07
to buildconstrui a squarepătrat of a givendat sizemărimea?
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pentru a construi un patrat de o marime data?
13:09
If we wanted to make a squarepătrat of sizemărimea 10, 100 or 1,000,
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Daca am dori sa realizam un patrat de 10, 100 sau 1.000,
13:14
if we used DNAADN-UL origamiOrigami alonesingur,
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si daca am folosi doar ADN-origami,
13:16
we would requirenecesita a numbernumăr of DNAADN-UL strandsdirecţii de acţiune that's the squarepătrat
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ar fi necesar un numar de monocatene de ADN egal cu
13:19
of the sizemărimea of that squarepătrat;
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acea marime la patrat;
13:21
so we'dne-am need 100, 10,000 or a millionmilion DNAADN-UL strandsdirecţii de acţiune.
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deci am avea nevoie de 100, 10.000 respectiv 1.000.000 de catene ADN.
13:23
That's really not affordableaccesibil.
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Nu ne putem permite asta.
13:25
But if we use a little computationcalcul --
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Dar daca folosim cateva computatii --
13:27
we use origamiOrigami, plusla care se adauga some tilesgresie that countnumara --
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adica folosim origami plus placute care numara --
13:31
then we can get away with usingutilizând 100, 200 or 300 DNAADN-UL strandsdirecţii de acţiune.
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atunci putem scapa folosind un numar de 100, 200, 300 de lanturi.
13:34
And so we can exponentiallyexponențial reducereduce the numbernumăr of DNAADN-UL strandsdirecţii de acţiune we use,
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Si astfel putem reduce exponential numarul de catene ADN necesare
13:39
if we use countingsocoteală, if we use a little bitpic of computationcalcul.
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daca folosim ceva calcule.
13:42
And so computationcalcul is some very powerfulputernic way
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Prin urmare aceste calcule au potential mare
13:45
to reducereduce the numbernumăr of moleculesmolecule you need to buildconstrui something,
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de a reduce numarul de molecule de care ai nevoie ca sa construiesti ceva,
13:48
to reducereduce the sizemărimea of the genomegenomului that you're buildingclădire.
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de a reduce marimea genomului pe care il asamblezi.
13:51
And finallyin sfarsit, I'm going to get back to that sortfel of crazynebun ideaidee
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Si in sfarsit, ma voi referi din nou la acea idee indrazneata
13:54
about computerscalculatoare buildingclădire computerscalculatoare.
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respectiv computere care construiesc computere.
13:56
If you look at the squarepătrat that you buildconstrui with the origamiOrigami
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Daca va uitati la patratul construit cu origami
13:59
and some counterscontoare growingcreştere off it,
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si la numaratorile care rezulta din acestea
14:01
the patternmodel that it has is exactlyexact the patternmodel that you need
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tiparul pe care il are este exact cel de care ai nevoie
14:04
to make a memorymemorie.
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pentru a crea o memorie.
14:05
So if you affixaplice some wiresfire and switchesîntrerupătoare to those tilesgresie --
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Acum, daca aplici niste conexiuni si intrerupatoare la acele dale,
14:08
rathermai degraba than to the staplecapsa strandsdirecţii de acţiune, you affixaplice them to the tilesgresie --
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in loc sa le aplici pe capse
14:11
then they'llei vor self-assembleauto-asambla the somewhatoarecum complicatedcomplicat circuitscircuite,
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atunci se pot auto-asambla circuite destul de complicate ---
14:14
the demultiplexerDemultiplexer circuitscircuite, that you need to addressadresa this memorymemorie.
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circuite de-multiplexer necesare pentru a adresa memoria unui calculator.
14:17
So you can actuallyde fapt make a complicatedcomplicat circuitcircuit
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In concluzie chiar putem construi circuite complicate
14:19
usingutilizând a little bitpic of computationcalcul.
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folosind putina computatie.
14:21
It's a molecularmolecular computercomputer buildingclădire an electronicelectronic computercomputer.
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Aici avem un computer molecular care construieste un computer electronic.
14:24
Now, you askcere me, how fardeparte have we gottenajuns down this pathcale?
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Poate va intrebati cat de departe am ajuns in aceasta directie.
14:27
ExperimentallyExperimental, this is what we'vene-am doneTerminat in the last yearan.
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Experimental, iata ce am facut anul trecut.
14:30
Here is a DNAADN-UL origamiOrigami rectangledreptunghi,
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Acesta e un dreptunghi de ADN-origami,
14:33
and here are some tilesgresie growingcreştere from it.
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iar aici sunt niste placute care au crescut din el.
14:35
And you can see how they countnumara.
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Si puteti vedea cum calculeaza ele.
14:37
One, two, threeTrei, fourpatru, fivecinci, sixşase, ninenouă, 10, 11, 12, 17.
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1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 17.
14:49
So it's got some errorserori, but at leastcel mai puţin it countscontează up.
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Observati niste erori, dar cel putin numara in sus.
14:53
(LaughterRâs)
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(Rasete)
14:54
So, it turnstransformă out we actuallyde fapt had this ideaidee ninenouă yearsani agoîn urmă,
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De fapt ne-a venit aceasta idee acum noua ani,
14:57
and that's about the time constantconstant for how long it takes
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dar, considerand constanta de timp necesara realizarii efective,
15:00
to do these kindstipuri of things, so I think we madefăcut a lot of progressprogres.
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consideram ca am progresat mult.
15:02
We'veNe-am got ideasidei about how to fixrepara these errorserori.
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Avem ceva idei de cum sa reparam aceste erori.
15:04
And I think in the nextUrmător → fivecinci or 10 yearsani,
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Si cred ca in urmatorii 5 sau 10 ani
15:06
we'llbine make the kinddrăguț of squarespătrate that I describeddescris
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vom face patratelele pe care le-am descris
15:08
and maybe even get to some of those self-assembledauto-asamblate circuitscircuite.
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si poate chiar si acele circuite auto-asamblate.
15:11
So now, what do I want you to take away from this talk?
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In concluzie, cu ce as dori sa ramaneti din aceasta prezentare?
15:15
I want you to remembertine minte that
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As dori sa retineti ca
15:17
to createcrea life'sviata lui very diversedivers and complexcomplex formsformulare,
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pentru a crea formele diverse si complexe de viata
15:21
life usesutilizări computationcalcul to do that.
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viata foloseste calcule in acest scop.
15:23
And the computationscalcule that it usesutilizări, they're molecularmolecular computationscalcule,
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Aceste calcule sunt computatii moleculare
15:27
and in orderOrdin to understanda intelege this and get a better handlemâner on it,
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iar in scopul de a le intelege mai bine
15:29
as FeynmanFeynman said, you know,
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cum spunea Feyman,
15:31
we need to buildconstrui something to understanda intelege it.
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trebuie sa le construim ca sa le intelegem.
15:33
And so we are going to use moleculesmolecule and refashionrefasona this thing,
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Si astfel vom folosi molecule ADN si le vom refasona,
15:37
rebuildreconstrui everything from the bottomfund up,
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reconstruind totul de jos in sus,
15:39
usingutilizând DNAADN-UL in waysmoduri that naturenatură never intendeddestinate,
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folosind ADN-ul in moduri in care natura nu a intentionat niciodata,
15:42
usingutilizând DNAADN-UL origamiOrigami,
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folosind ADN-origami,
15:44
and DNAADN-UL origamiOrigami to seedsămânță this algorithmicalgoritmice self-assemblyauto-asamblare.
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fie ca atare, fie pentru a initia aceste auto-asamblari algoritmice.
15:47
You know, so this is all very coolmisto,
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Ei bine, toate acestea sunt grozave,
15:50
but what I'd like you to take from the talk,
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dar ce mi-ar placea sa retineti din prezentare,
15:51
hopefullyin speranta from some of those bigmare questionsîntrebări,
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din acele intrebari majore,
15:53
is that this molecularmolecular programmingprogramare isn't just about makingluare gadgetsgadget-uri.
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este ca aceste programe moleculare
15:56
It's not just makingluare about --
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nu se reduc doar la a construi dispozitive,
15:58
it's makingluare self-assembledauto-asamblate cellcelulă phonestelefoane and circuitscircuite.
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doar la asamblarea de celulare si circuite.
16:00
What it's really about is takingluare computercomputer scienceştiinţă
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Ceea ce este cu adevarat important e a reusi in procesul de programare
16:02
and looking at bigmare questionsîntrebări in a newnou lightușoară,
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sa privim intrebarile vietii intr-o lumina noua,
16:05
askingcer newnou versionsversiuni of those bigmare questionsîntrebări
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sa cream versiuni noi ale acelor intrebari complexe
16:07
and tryingîncercat to understanda intelege how biologybiologie
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si sa incercam sa intelegem cum reuseste biologia
16:09
can make suchastfel de amazinguimitor things. Thank you.
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sa faca astfel de lucruri uimitoare. Multumesc.
16:12
(ApplauseAplauze)
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(Aplauze)
Translated by Ariana Bleau Lugo
Reviewed by Brandusa Gheorghe

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ABOUT THE SPEAKER
Paul Rothemund - DNA origamist
Paul Rothemund folds DNA into shapes and patterns. Which is a simple enough thing to say, but the process he has developed has vast implications for computing and manufacturing -- allowing us to create things we can now only dream of.

Why you should listen

Paul Rothemund won a MacArthur grant this year for a fairly mystifying study area: "folding DNA." It brings up the question: Why fold DNA? The answer is -- because the power to manipulate DNA in this way could change the way we make things at a very basic level.

Rothemund's work combines the study of self-assembly (watch the TEDTalks from Neil Gershenfeld and Saul Griffith for more on this) with the research being done in DNA nanotechnology -- and points the way toward self-assembling devices at microscale, making computer memory, for instance, smaller, faster and maybe even cheaper.

More profile about the speaker
Paul Rothemund | Speaker | TED.com