Literature DB >> 34431290

Solving 0-1 Integer Programming Problem Based on DNA Strand Displacement Reaction Network.

Zhen Tang1, Zhixiang Yin1,2, Luhui Wang3, Jianzhong Cui4, Jing Yang1, Risheng Wang1.   

Abstract

Chemical reaction networks (CRNs) based on DNA strand displacement (DSD) can be used as an effective programming language for solving various mathematical problems. In this paper, we design three chemical reaction modules by using the DNA strand displacement reaction as the basic principle, with a weighted reaction module, sum reaction module, and threshold reaction module. These modules are used as basic elements to form chemical reaction networks that can be used to solve 0-1 integer programming problems. The problem can be solved through the three steps of weighting, sum, and threshold, and then the results of the operations can be expressed through a single-stranded DNA output with fluorescent molecules. Finally, we use biochemical experiments and Visual DSD simulation software to verify and evaluate the chemical reaction networks. The results have shown that the DSD-based chemical reaction networks constructed in this paper have good feasibility and stability.

Entities:  

Keywords:  0−1 integer programming problem; DNA computing; DNA strand displacement; chemical reaction networks

Mesh:

Substances:

Year:  2021        PMID: 34431290     DOI: 10.1021/acssynbio.1c00244

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  3 in total

1.  An Operational DNA Strand Displacement Encryption Approach.

Authors:  Enqiang Zhu; Xianhang Luo; Chanjuan Liu; Congzhou Chen
Journal:  Nanomaterials (Basel)       Date:  2022-03-06       Impact factor: 5.076

2.  Massively Parallel DNA Computing Based on Domino DNA Strand Displacement Logic Gates.

Authors:  Xin Chen; Xinyu Liu; Fang Wang; Sirui Li; Congzhou Chen; Xiaoli Qiang; Xiaolong Shi
Journal:  ACS Synth Biol       Date:  2022-06-30       Impact factor: 5.249

3.  Using amino acid features to identify the pathogenicity of influenza B virus.

Authors:  Zheng Kou; Xinyue Fan; Junjie Li; Zehui Shao; Xiaoli Qiang
Journal:  Infect Dis Poverty       Date:  2022-05-04       Impact factor: 10.485

  3 in total

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