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Error-based Extraction of States and Energy Landscapes from Experimental Single-Molecule Time-Series

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Title: Error-based Extraction of States and Energy Landscapes from Experimental Single-Molecule Time-Series
Authors: Taylor, J. Nicholas Browse this author
Li, Chun-Biu Browse this author
Cooper, David R. Browse this author
Landes, Christy F. Browse this author
Komatsuzaki, Tamiki Browse this author →KAKEN DB
Issue Date: 17-Mar-2015
Publisher: NATURE PUBLISHING GROUP
Journal Title: Scientific Reports
Volume: 5
Start Page: 9174
Publisher DOI: 10.1038/srep09174
Abstract: Characterization of states, the essential components of the underlying energy landscapes, is one of the most intriguing subjects in single-molecule (SM) experiments due to the existence of noise inherent to the measurements. Here we present a method to extract the underlying state sequences from experimental SM time-series. Taking into account empirical error and the finite sampling of the time-series, the method extracts a steady-state network which provides an approximation of the underlying effective free energy landscape. The core of the method is the application of rate-distortion theory from information theory, allowing the individual data points to be assigned to multiple states simultaneously. We demonstrate the method's proficiency in its application to simulated trajectories as well as to experimental SM fluorescence resonance energy transfer (FRET) trajectories obtained from isolated agonist binding domains of the AMPA receptor, an ionotropic glutamate receptor that is prevalent in the central nervous system.
Rights: http://creativecommons.org/licenses/by/4.0/
Type: article
URI: http://hdl.handle.net/2115/58532
Appears in Collections:電子科学研究所 (Research Institute for Electronic Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 小松崎 民樹

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