PMFF : Development of a Physics-Based Molecular Force Field for Protein Simulation and Ligand Docking
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.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2020 |
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Erschienen: |
2020 |
Enthalten in: |
Zur Gesamtaufnahme - volume:124 |
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Enthalten in: |
The journal of physical chemistry. B - 124(2020), 6 vom: 13. Feb., Seite 974-989 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Hwang, Sung Bo [VerfasserIn] |
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Links: |
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Themen: |
Journal Article |
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Anmerkungen: |
Date Completed 29.03.2021 Date Revised 29.03.2021 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1021/acs.jpcb.9b10339 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM30538211X |
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520 | |a 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 | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Research Support, N.I.H., Extramural | |
650 | 4 | |a Research Support, Non-U.S. Gov't | |
650 | 7 | |a Ligands |2 NLM | |
650 | 7 | |a Proteins |2 NLM | |
700 | 1 | |a Lee, Chang Joon |e verfasserin |4 aut | |
700 | 1 | |a Lee, Sehan |e verfasserin |4 aut | |
700 | 1 | |a Ma, Songling |e verfasserin |4 aut | |
700 | 1 | |a Kang, Young-Mook |e verfasserin |4 aut | |
700 | 1 | |a Cho, Kwang Hwi |e verfasserin |4 aut | |
700 | 1 | |a Kim, Su-Yeon |e verfasserin |4 aut | |
700 | 1 | |a Kwon, Oh Young |e verfasserin |4 aut | |
700 | 1 | |a Yoon, Chang No |e verfasserin |4 aut | |
700 | 1 | |a Kang, Young Kee |e verfasserin |4 aut | |
700 | 1 | |a Yoon, Jeong Hyeok |e verfasserin |4 aut | |
700 | 1 | |a Nam, Ky-Youb |e verfasserin |4 aut | |
700 | 1 | |a Kim, Seong-Gon |e verfasserin |4 aut | |
700 | 1 | |a In, Youngyong |e verfasserin |4 aut | |
700 | 1 | |a Chai, Han Ha |e verfasserin |4 aut | |
700 | 1 | |a Acree, William E |c Jr |e verfasserin |4 aut | |
700 | 1 | |a Grant, J Andrew |e verfasserin |4 aut | |
700 | 1 | |a Gibson, Ken D |e verfasserin |4 aut | |
700 | 1 | |a Jhon, Mu Shik |e verfasserin |4 aut | |
700 | 1 | |a Scheraga, Harold A |e verfasserin |4 aut | |
700 | 1 | |a No, Kyoung Tai |e verfasserin |4 aut | |
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