We simulate the nonequilibrium ensemble dynamics of a biomolecule using the weighted ensemble method, which was introduced in molecular dynamics simulations by Huber and Kim and further developed by Zuckerman and co-workers. As the order parameters to characterize its conformational change, we here use the coordinates derived from the diffusion map (DM) method, one of the manifold learning techniques. As a concrete example, we study the kinetic properties of a small peptide, chignolin in explicit water, and calculate the conformational change between the folded and misfolded states in a nonequilibrium way. We find that the transition time scales thus obtained are comparable to those using previously employed hydrogen-bond distances as the order parameters. Since the DM method only uses the 3D Cartesian coordinates of a peptide, this shows that the DM method can extract the important distance information of the peptide without relying on chemical intuition. The time scales are compared well with the previous results using different techniques, non-Markovian analysis and core-set milestoning for a single long trajectory. We also find that the most significant DM coordinate turns out to extract a dihedral angle of glycine, and the previously studied relaxation modes are well correlated with the most significant DM coordinates.
Skip Nav Destination
Article navigation
7 October 2018
Research Article|
October 04 2018
Conformational change of a biomolecule studied by the weighted ensemble method: Use of the diffusion map method to extract reaction coordinates
Special Collection:
Enhanced Sampling for Molecular Systems
Hiroshi Fujisaki;
Hiroshi Fujisaki
a)
1
Department of Physics, Nippon Medical School
, 1-7-1 Kyonan-cho, Musashino, Tokyo 180-0023, Japan
2
AMED-CREST, Japan Agency for Medical Research and Development
, 1-1-5 Sendagi, Bunkyo-ku, Tokyo 113-8603, Japan
Search for other works by this author on:
Kei Moritsugu;
Kei Moritsugu
b)
3
Graduate School of Medical Life Science, Yokohama City University
, 1-7-29 Suehirocho, Tsurumi, Yokohama 230-0045, Japan
Search for other works by this author on:
Ayori Mitsutake;
Ayori Mitsutake
c)
4
Department of Physics, School of Science and Technology, Meiji University
, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan
Search for other works by this author on:
Hiromichi Suetani
Hiromichi Suetani
d)
5
Faculty of Science and Technology, Oita University
, 700 Dannoharu, Oita 870-1192, Japan
6
RIKEN Center for Brain Science
, 2-1 Hirosawa, Wako 351-0198, Japan
Search for other works by this author on:
a)
Electronic mail: [email protected]
b)
Electronic mail: [email protected]
c)
Electronic mail: [email protected]
d)
Electronic mail: [email protected]
Note: This article was intended as part of the Special Topic “Enhanced Sampling for Molecular Systems” in Issue 7 of Volume 149 of J. Chem. Phys.
J. Chem. Phys. 149, 134112 (2018)
Article history
Received:
July 21 2018
Accepted:
September 14 2018
Citation
Hiroshi Fujisaki, Kei Moritsugu, Ayori Mitsutake, Hiromichi Suetani; Conformational change of a biomolecule studied by the weighted ensemble method: Use of the diffusion map method to extract reaction coordinates. J. Chem. Phys. 7 October 2018; 149 (13): 134112. https://doi.org/10.1063/1.5049420
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
DeePMD-kit v2: A software package for deep potential models
Jinzhe Zeng, Duo Zhang, et al.
Beyond the Debye–Hückel limit: Toward a general theory for concentrated electrolytes
Mohammadhasan Dinpajooh, Nadia N. Intan, et al.
Related Content
Development of isothermal-isobaric replica-permutation method for molecular dynamics and Monte Carlo simulations and its application to reveal temperature and pressure dependence of folded, misfolded, and unfolded states of chignolin
J. Chem. Phys. (November 2017)
Relaxation mode analysis and Markov state relaxation mode analysis for chignolin in aqueous solution near a transition temperature
J. Chem. Phys. (September 2015)
Scalable free energy calculation of proteins via multiscale essential sampling
J. Chem. Phys. (December 2010)
Accelerated weight histogram method for exploring free energy landscapes
J. Chem. Phys. (July 2014)
Electric field effects on chignolin conformation
J. Appl. Phys. (May 2011)