DNA computation based on self-assembled nanoparticle probes for 0–1 integer programming problem
Fei Li,
Jingming Liu and
Zheng Li
Mathematics and Computers in Simulation (MATCOM), 2018, vol. 151, issue C, 140-146
Abstract:
0–1 integer programming problem is very important in opsearch with widespread application. In this paper, a new DNA computing model based on self-assembled nanoparticle probes is presented to solve it, in which the nanoparticle and oligonucleotides are integrated for the first time. Its essence is that all possible combinations of variable 0 or 1 for given problem are encoded in the recognition zone of self-assembled nanoparticle probes, and feasible solutions are judged through their hybridization of target sequences. Major benefits of this method include vast parallelism, extraordinary information density and easy controllable operation. The result reveals the potential of DNA computation based on nano technology in solving complex integer programming problem.
Keywords: DNA computation; Self-assembled technology; Nanoparticle; 0–1 integer programming problem; Surface-based computation (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378475417300587
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:151:y:2018:i:c:p:140-146
DOI: 10.1016/j.matcom.2017.02.004
Access Statistics for this article
Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens
More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().