Bayesian estimation of the internal structure of proteins from single-molecule measurements

Makito Miyazaki*, Takahiro Harada


研究成果: Article査読

4 被引用数 (Scopus)


In single-molecule protein experiments, the observable variables are restricted within a small fraction of the entire degrees of freedom. Therefore, to investigate the physical nature of proteins in detail, we always need to estimate the hidden internal structure referring only to the accessible degrees of freedom. We formulate this problem on the basis of Bayesian inference, which can be applied to various complex systems. In the ideal case, we find that in general the framework actually works. Although careful numerical studies confirm that our method outperforms the conventional method by up to two orders of magnitude, we find a striking phenomenon: a loss-of-precision transition occurs abruptly when the design of the observation system is inappropriate. The basic features of the proposed method are illustrated using a simple but nontrivial model.

ジャーナルJournal of Chemical Physics
出版ステータスPublished - 2011 2月 28

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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