Literature DB >> 18999469

Experiments and simulation models of a basic computation element of an autonomous molecular computing system.

Masahiro Takinoue1, Daisuke Kiga, Koh-Ichiroh Shohda, Akira Suyama.   

Abstract

Autonomous DNA computers have been attracting much attention because of their ability to integrate into living cells. Autonomous DNA computers can process information through DNA molecules and their molecular reactions. We have already proposed an idea of an autonomous molecular computer with high computational ability, which is now named Reverse-transcription-and-TRanscription-based Autonomous Computing System (RTRACS). In this study, we first report an experimental demonstration of a basic computation element of RTRACS and a mathematical modeling method for RTRACS. We focus on an AND gate, which produces an output RNA molecule only when two input RNA molecules exist, because it is one of the most basic computation elements in RTRACS. Experimental results demonstrated that the basic computation element worked as designed. In addition, its behaviors were analyzed using a mathematical model describing the molecular reactions of the RTRACS computation elements. A comparison between experiments and simulations confirmed the validity of the mathematical modeling method. This study will accelerate construction of various kinds of computation elements and computational circuits of RTRACS, and thus advance the research on autonomous DNA computers.

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Year:  2008        PMID: 18999469     DOI: 10.1103/PhysRevE.78.041921

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  12 in total

1.  Scaling down DNA circuits with competitive neural networks.

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2.  Bottom-up construction of in vitro switchable memories.

Authors:  Adrien Padirac; Teruo Fujii; Yannick Rondelez
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-29       Impact factor: 11.205

Review 3.  Cell-free synthetic biology: thinking outside the cell.

Authors:  C Eric Hodgman; Michael C Jewett
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4.  High-resolution mapping of bifurcations in nonlinear biochemical circuits.

Authors:  A J Genot; A Baccouche; R Sieskind; N Aubert-Kato; N Bredeche; J F Bartolo; V Taly; T Fujii; Y Rondelez
Journal:  Nat Chem       Date:  2016-06-20       Impact factor: 24.427

5.  DNA cytoskeleton for stabilizing artificial cells.

Authors:  Chikako Kurokawa; Kei Fujiwara; Masamune Morita; Ibuki Kawamata; Yui Kawagishi; Atsushi Sakai; Yoshihiro Murayama; Shin-Ichiro M Nomura; Satoshi Murata; Masahiro Takinoue; Miho Yanagisawa
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-26       Impact factor: 11.205

6.  Efficient cell-free expression with the endogenous E. Coli RNA polymerase and sigma factor 70.

Authors:  Jonghyeon Shin; Vincent Noireaux
Journal:  J Biol Eng       Date:  2010-06-24       Impact factor: 4.355

7.  Synthetic in vitro transcriptional oscillators.

Authors:  Jongmin Kim; Erik Winfree
Journal:  Mol Syst Biol       Date:  2011-02-01       Impact factor: 11.429

Review 8.  Synthetic biology outside the cell: linking computational tools to cell-free systems.

Authors:  Daniel D Lewis; Fernando D Villarreal; Fan Wu; Cheemeng Tan
Journal:  Front Bioeng Biotechnol       Date:  2014-12-09

9.  Pulse-density modulation control of chemical oscillation far from equilibrium in a droplet open-reactor system.

Authors:  Haruka Sugiura; Manami Ito; Tomoya Okuaki; Yoshihito Mori; Hiroyuki Kitahata; Masahiro Takinoue
Journal:  Nat Commun       Date:  2016-01-20       Impact factor: 14.919

10.  Chromatin computation.

Authors:  Barbara Bryant
Journal:  PLoS One       Date:  2012-05-02       Impact factor: 3.240

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