Volume 40, Issue 15 p. 1530-1537
Full Paper

Temperature–pressure shuffling outlier flooding method enhances the conformational sampling of proteins

Ryuhei Harada

Corresponding Author

Center for Computational Sciences, University of Tsukuba, 1‐1‐1 Tennodai, Tsukuba, Ibaraki 305‐8577, Japan

Ryuhei Harada, E‐mail: ryuhei@ccs.tsukuba.ac.jp and Yasuteru Shigeta, E‐mail: shigeta@ccs.tsukuba.ac.jpSearch for more papers by this author
Ryunosuke Yoshino

Transborder Medical Research Center, University of Tsukuba, 1‐1‐1 Tenodai Tsukuba, Ibaraki 305‐8577, Japan

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Hiroaki Nishizawa

Center for Computational Sciences, University of Tsukuba, 1‐1‐1 Tennodai, Tsukuba, Ibaraki 305‐8577, Japan

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Yasuteru Shigeta

Corresponding Author

Center for Computational Sciences, University of Tsukuba, 1‐1‐1 Tennodai, Tsukuba, Ibaraki 305‐8577, Japan

Ryuhei Harada, E‐mail: ryuhei@ccs.tsukuba.ac.jp and Yasuteru Shigeta, E‐mail: shigeta@ccs.tsukuba.ac.jpSearch for more papers by this author
First published: 28 February 2019
Citations: 2

Abstract

Outlier flooding method (OFLOOD) is an efficient conformational sampling method developed by the authors. In the present study, to further enhance the conformational sampling efficiency, a set of parameters (temperatures and pressures) specified as inputs in the original OFLOOD were shuffled before restarting the short‐time molecular dynamics (MD) simulations. Because of the diversity of these parameters, it was confirmed that the extended OFLOOD becomes superior to the original one in finding the folding pathways of Trp‐cage. © 2019 Wiley Periodicals, Inc.

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