Go-and-Back method: Effective estimation of the hidden motion of proteins from single-molecule time series

Makito Miyazaki, Takahiro Harada

Research output: Contribution to journalArticle

Abstract

We present an effective method for estimating the motion of proteins from the motion of attached probe particles in single-molecule experiments. The framework naturally incorporates Langevin dynamics to compute the most probable trajectory of the protein. By using a perturbation expansion technique, we achieve computational costs more than 3 orders of magnitude smaller than the conventional gradient descent method without loss of simplicity in the computation algorithm. We present illustrative applications of the method using simple models of single-molecule experiments and confirm that the proposed method yields reasonable and stable estimates of the hidden motion in a highly efficient manner.

Original languageEnglish
Article number135104
JournalJournal of Chemical Physics
Volume134
Issue number13
DOIs
Publication statusPublished - 2011 Apr 7
Externally publishedYes

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Physical and Theoretical Chemistry
  • Medicine(all)

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