期刊文献+

基于分子生物技术的DNA计算系统 被引量:2

DNA Computing System Based on Molecular Biology Technology
下载PDF
导出
摘要 DNA计算是一种应用分子生物技术进行计算的新方法,DNA计算的2个主要特点是高度并行性和巨大的信息存储容量。为解决DNA计算初始化过程存在的问题,提出了数据初始化模型,保证了初始数据的完整性,减少了计算过程中参与筛选的DNA链的数量,提高了计算精度。针对生物实验反应时间较长、活性DNA材料成本高的现状,开发了DNA计算系统,通过仿真实验解决了哈密尔顿问题。 DNA computing,a new calculating method by molecular biology technology,is charac-terized by its high parallel nature and enormous information storage capacity.A data initialization model was proposed to solve the problem in initialization,guarantee the wholeness of initial data, reduce the number of DNA chains that participate in screening during the computation process, and improve the precision of calculation.On such a basis,the biological modeling DNA compu-ting system was developed to shorten the biological experiment reaction time and reduce the cost of active DNA materials.Finally,simulation experiment was made to solve the Hamilton problem.
作者 李燕 钟磊
出处 《淮海工学院学报(自然科学版)》 CAS 2014年第4期9-13,共5页 Journal of Huaihai Institute of Technology:Natural Sciences Edition
基金 山东省中青年科学家科研奖励基金项目(2009BSA07021) 南京信息工程大学自然科学基金资助项目(20100392)
关键词 DNA计算 哈密尔顿问题 计算模型 系统模拟 DNA computing Hamilton problem computation module system simulation
  • 相关文献

参考文献11

  • 1HOLLAND J H. Adaptation in Natural and Artificial System: An Introduetion Analysis with Application to Biology, Control and Artificial Intelligenee[M]. Mich- igan.- the University of Michigan Press, 1975.
  • 2ADLEMAN L M. Molecular computation of solutions to combinatorial problems FJ]. Science, 1994, 266: 1021-1024.
  • 3LIU Q H. DNA computing on surfaces[J]. Nature, 2000, 403: 175-179.
  • 4IAM H W, LEE S H, YANG K A, et al. In vitro mo- lecular pattern classification via DNA-based weighted- sum operation[J]. Biosystems, 2010, 100. 1-7.
  • 5DAREHMIRAKI M. A new solution for maximal clique problem based sticker modelt[J]. Biosystems, 2009, 95: 145-149.
  • 6SMITH D H, ABOLUION N, MONTEMANNI R, et al. Linear and nonlinear constructions oI DNA codes with Hamming distanced and constant GC-content[J]. Discrete Mathematics, 2011, 311: 1207-1219.
  • 7周康,同小军,刘文斌,许进.最短路问题的闭环DNA算法[J].系统工程与电子技术,2008,30(3):556-560. 被引量:14
  • 8MARDINAN R, SEKIYAMA K, FUKUDA T. Ap- proaching mathematical model of the immune network based DNA strand displacement system[J]. Biosys- terns, 2013, 114(3): 245-252.
  • 9KARl L. DNA computing: arrival of biological mathe- matics[J]. The Mathematical Intelligence, 1997, 19 (2) : 9-22.
  • 10周旭,李肯立,乐光学,杨志邦.一种最大匹配问题DNA计算算法[J].计算机研究与发展,2011,48(11):2147-2154. 被引量:10

二级参考文献29

共引文献25

同被引文献14

引证文献2

二级引证文献19

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部