Wang-Landau molecular dynamics technique to search for low-energy conformational space of proteins

Takehiro Nagasima, Akira R. Kinjo, Takashi Mitsui, and Ken Nishikawa
Phys. Rev. E 75, 066706 – Published 27 June 2007

Abstract

Multicanonical molecular dynamics (MD) is a powerful technique for sampling conformations on rugged potential surfaces such as protein. However, it is notoriously difficult to estimate the multicanonical temperature effectively. Wang and Landau developed a convenient method for estimating the density of states based on a multicanonical Monte Carlo method. In their method, the density of states is calculated autonomously during a simulation. In this paper, we develop a set of techniques to effectively apply the Wang-Landau method to MD simulations. In the multicanonical MD, the estimation of the derivative of the density of states is critical. In order to estimate it accurately, we devise two original improvements. First, the correction for the density of states is made smooth by using the Gaussian distribution obtained by a short canonical simulation. Second, an approximation is applied to the derivative, which is based on the Gaussian distribution and the multiple weighted histogram technique. A test of this method was performed with small polypeptides, Met-enkephalin and Trp-cage, and it is demonstrated that Wang-Landau MD is consistent with replica exchange MD but can sample much larger conformational space.

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  • Received 22 February 2006

DOI:https://doi.org/10.1103/PhysRevE.75.066706

©2007 American Physical Society

Authors & Affiliations

Takehiro Nagasima1, Akira R. Kinjo1,2,3,*, Takashi Mitsui4, and Ken Nishikawa1,2,†

  • 1Center for Information Biology and DNA Data Bank of Japan, National Institute of Genetics, Mishima 411-8540, Japan
  • 2Department of Genetics, The Graduate University for Advanced Studies (SOKENDAI), Mishima 411-8540, Japan
  • 3Institute for Protein Research, Osaka University, Suita, 565-0871, Japan
  • 4Fujitsu Limited, 1-9-3, Nakase, Mihama, Chiba 261-8588, Japan

  • *Electronic address: akinjo@protein.osaka-u.ac.jp
  • Electronic address: knishika@genes.nig.ac.jp

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Vol. 75, Iss. 6 — June 2007

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