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Playing to win at DNA computation Jeffrey J. Tabor, Andrew D. Ellington Nature Biotechnology 21(9), 1013-1015 (2003) presented by Ki-Roo Shin.

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Presentation on theme: "Playing to win at DNA computation Jeffrey J. Tabor, Andrew D. Ellington Nature Biotechnology 21(9), 1013-1015 (2003) presented by Ki-Roo Shin."— Presentation transcript:

1 Playing to win at DNA computation Jeffrey J. Tabor, Andrew D. Ellington Nature Biotechnology 21(9), 1013-1015 (2003) presented by Ki-Roo Shin

2 Deoxyribozyme-Based Logic Gates Stojanovic,M.N. 1, Mitchell,T.E. 1, and Stefanovic,D. 2 J.AM.CHEM.SOC. 124, 3555-3561 (2002) 1 Department of Medicine, Columbia University, NewYork 2 Department of Computer Science University of New Mexico, Albuquerque, New Mexico They incorporated two modular allosteric domains into an RNA-cleaving deoxyribozyme (E6) that were capable of activating or inhibiting the enzyme in the presence of complementary oligonucleotide effectors.

3 A deoxiribozyme-based molecular automaton Stojanovic, M.N., Stefanovic, D. Nat. Biotechnol. 21, 1069-1074 (2003). 3×3 tic-tac-toe  An automaton built with DNA enzymes plays tic-tac- toe against human players  9 wells corresponding the 9 squares signifies the moves  The human player responds by adding a DNA oligonucleotide effector to all 9 wells  23 different deoxyribozymes, 8 different oligonucleotide effectors

4 Tic-tac-toe

5 Summary They suggest htat their biological logic gates might be refashioned as intracellular sentinels, capable of recognizing multiple disease signals and responding with a single functional output, such as the release of cytotoxic factors. It may be possible to similarly reengineer signal transduction pathways using the same sorts of techniques. Molecular computers can be used to directly mimic and even solve problems that occur within the provenance of biology: that is, inside of a cell.

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