Aggregated Markov Model Using Time Series of Single Molecule Dwell Times with Minimum Excessive Information

Li, Chun-Biu; Komatsuzaki, Tamiki

Physical Review Letters, 2013, 111(5), 58301

Permalink : https://hdl.handle.net/2115/53360

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ファイル	フォーマット	サイズ	閲覧回数	説明
PhysRevLett.111.058301	pdf	488 KB	1,292

アクセス権	open access
URI	https://hdl.handle.net/2115/53360
タイトル	Aggregated Markov Model Using Time Series of Single Molecule Dwell Times with Minimum Excessive Information
著者	著者名 Li, Chun-Biu
著者	e-Rad_Researcher 30270549 著者名 Komatsuzaki, Tamiki
言語	英語
発行日	2013-08-01
出版者	American Physical Society
収録物名	Physical Review Letters
巻(号)	111(5)
ページ	58301
抄録	Statistics of the dwell times, the stationary state distributions (SSDs), are often studied to infer the underlying kinetics from a single molecule finite-level time series. However, it is well known that the underlying kinetic scheme, a hidden Markov model (HMM), cannot be identified uniquely from the SSDs because some features of the underlying HMM are hidden by finite-level measurements. Here, we quantify the amount of excessive information in a given HMM that is not warranted by the measured SSDs and extract the HMM with minimum excessive information as the most objective representation of the data. The method is applied to a single molecule enzymatic turnover experiment, and the origin of dynamic disorder is discussed in terms of the network properties of the HMM.
資源タイプ	学術雑誌論文
出版タイプ	Version of Record
権利情報	©2013 American Physical Society
PISSN	0031-9007
関連情報	PMID 23952451
関連情報 (isIdenticalTo)	出版社版DOI https://doi.org/10.1103/PhysRevLett.111.058301