A realization of DNA molecular machine that walks autonomously by using a restriction enzyme

Hiroyuki Sekiguchi, Ken Komiya, Daisuke Kiga, Masayuki Yamamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper, we propose an autonomous molecular walking machine using DNA. This molecular machine follows a track of DNA equipped with many single-strand DNA stators arranged in a certain pattern. The molecular machine achieves autonomous walk by using a restriction enzyme as source of power. With a proposed machine we can control its moving direction and we can easily extend walking patterns in two or three dimensions. Combination of multiple legs and ssDNA stators can control the walking pattern. We designed and performed a series of feasibility study with molecular biology experiments.

Original languageEnglish
Title of host publicationDNA Computing - 13th International Meeting on DNA Computing, DNA13, Revised Selected Papers
Pages54-65
Number of pages12
DOIs
Publication statusPublished - 2008 Aug 27
Event13th International Meeting on DNA Computing, DNA13 - Memphis, TN, United States
Duration: 2007 Jun 42007 Jun 8

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4848 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th International Meeting on DNA Computing, DNA13
CountryUnited States
CityMemphis, TN
Period07/6/407/6/8

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Sekiguchi, H., Komiya, K., Kiga, D., & Yamamura, M. (2008). A realization of DNA molecular machine that walks autonomously by using a restriction enzyme. In DNA Computing - 13th International Meeting on DNA Computing, DNA13, Revised Selected Papers (pp. 54-65). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4848 LNCS). https://doi.org/10.1007/978-3-540-77962-9_6