Literature DB >> 11004388

Computing with DNA by operating on plasmids.

T Head1, G Rozenberg, R S Bladergroen, C K Breek, P H Lommerse, H P Spaink.   

Abstract

A new method of computing using DNA plasmids is introduced and the potential advantages are listed. The new method is illustrated by reporting a laboratory computation of an instance of the NP-complete algorithmic problem of computing the cardinal number of a maximal independent subset of the vertex set of a graph. A circular DNA plasmid, specifically designed for this method of molecular computing, was constructed. This computational plasmid contains a specially inserted series of DNA sequence segments, each of which is bordered by a characteristic pair of restriction enzyme sites. For the computation reported here, the DNA sequence segments of this series were used to represent the vertices of the graph being investigated. By applying a scheme of enzymatic treatments to the computational plasmids, modified plasmids were generated from which the solution of the computational problem was selected. This new method of computing is applicable to a wide variety of algorithmic problems. Further computations in this style are in progress.

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Year:  2000        PMID: 11004388     DOI: 10.1016/s0303-2647(00)00091-5

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  5 in total

1.  Rational design of DNA sequences for nanotechnology, microarrays and molecular computers using Eulerian graphs.

Authors:  Petr Pancoska; Zdenek Moravek; Ute M Moll
Journal:  Nucleic Acids Res       Date:  2004-08-27       Impact factor: 16.971

Review 2.  Biocomputers: from test tubes to live cells.

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3.  Logic integration of mRNA signals by an RNAi-based molecular computer.

Authors:  Zhen Xie; Siyuan John Liu; Leonidas Bleris; Yaakov Benenson
Journal:  Nucleic Acids Res       Date:  2010-03-01       Impact factor: 16.971

4.  Molecular Sticker Model Stimulation on Silicon for a Maximum Clique Problem.

Authors:  Jianguo Ning; Yanmei Li; Wen Yu
Journal:  Int J Mol Sci       Date:  2015-06-12       Impact factor: 5.923

5.  Multi-Image Encryption Method via Computational Integral Imaging Algorithm.

Authors:  Xiaowu Li; Chuying Yu; Junfeng Guo
Journal:  Entropy (Basel)       Date:  2022-07-18       Impact factor: 2.738

  5 in total

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