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PMFF: Development of a Physics-Based Molecular Force Field for Protein Simulation and Ligand Docking
Author(s) -
Sungbo Hwang,
Chang Joon Lee,
Sehan Lee,
Songling Ma,
Young-Mook Kang,
Kwang Hwi Cho,
Suyeon Kim,
Oh Young Kwon,
Chang No Yoon,
Young Kee Kang,
Jeong Hyeok Yoon,
Ky-Youb Nam,
SeongGon Kim,
Youngyong In,
HanHa Chai,
William E. Acree,
Jennifer Grant,
Ken D. Gibson,
Mu Shik Jhon,
Harold A. Scheraga,
Kyoung Tai No
Publication year - 2020
Publication title -
the journal of physical chemistry b
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.864
H-Index - 392
eISSN - 1520-6106
pISSN - 1520-5207
DOI - 10.1021/acs.jpcb.9b10339
Subject(s) - observable , force field (fiction) , intramolecular force , intermolecular force , statistical physics , dipole , physics , solvation , lattice energy , potential energy , classical mechanics , chemistry , quantum mechanics , molecule , crystal structure , crystallography
The physics-based molecular force field (PMFF) was developed by integrating a set of potential energy functions in which each term in an intermolecular potential energy function is derived based on experimental values, such as the dipole moments, lattice energy, proton transfer energy, and X-ray crystal structures. The term "physics-based" is used to emphasize the idea that the experimental observables that are considered to be the most relevant to each term are used for the parameterization rather than parameterizing all observables together against the target value. PMFF uses MM3 intramolecular potential energy terms to describe intramolecular interactions and includes an implicit solvation model specifically developed for the PMFF. We evaluated the PMFF in three ways. We concluded that the PMFF provides reliable information based on the structure in a biological system and interprets the biological phenomena accurately by providing more accurate evidence of the biological phenomena.

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