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

Makito Miyazaki, Takahiro Harada

研究成果: Article査読

抄録

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.

本文言語English
論文番号135104
ジャーナルJournal of Chemical Physics
134
13
DOI
出版ステータスPublished - 2011 4 7
外部発表はい

ASJC Scopus subject areas

  • 物理学および天文学(全般)
  • 物理化学および理論化学
  • 医学(全般)

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