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PMID: 14531054 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

A point-charge force field for molecular mechanics simulations of proteins based on condensed-phase quantum mechanical calculations.

Journal of computational chemistry ·Vol. 24 ·No. 16 ·2003-12-00 ·Pages 1999-2012

Duan Y, Wu C, Chowdhury S, Lee MC, Xiong G, Zhang W, Yang R, Cieplak P, Luo R, Lee T, Caldwell J, Wang J, Kollman P

Abstract

Molecular mechanics models have been applied extensively to study the dynamics of proteins and nucleic acids. Here we report the development of a third-generation point-charge all-atom force field for proteins. Following the earlier approach of Cornell et al., the charge set was obtained by fitting to the electrostatic potentials of dipeptides calculated using B3LYP/cc-pVTZ//HF/6-31G** quantum mechanical methods. The main-chain torsion parameters were obtained by fitting to the energy profiles of Ace-Ala-Nme and Ace-Gly-Nme di-peptides calculated using MP2/cc-pVTZ//HF/6-31G** quantum mechanical methods. All other parameters were taken from the existing AMBER data base. The major departure from previous force fields is that all quantum mechanical calculations were done in the condensed phase with continuum solvent models and an effective dielectric constant of epsilon = 4. We anticipate that this force field parameter set will address certain critical short comings of previous force fields in condensed-phase simulations of proteins. Initial tests on peptides demonstrated a high-degree of similarity between the calculated and the statistically measured Ramanchandran maps for both Ace-Gly-Nme and Ace-Ala-Nme di-peptides. Some highlights of our results include (1) well-preserved balance between the extended and helical region distributions, and (2) favorable type-II poly-proline helical region in agreement with recent experiments. Backward compatibility between the new and Cornell et al. charge sets, as judged by overall agreement between dipole moments, allows a smooth transition to the new force field in the area of ligand-binding calculations. Test simulations on a large set of proteins are also discussed.

MeSH Terms
Algorithms Amino Acids/chemistry Chemical Phenomena Chemistry, Physical Computer Simulation Databases, Factual Dipeptides/chemistry Hydrogen Bonding Mathematical Computing Models, Theoretical Peptides/chemistry Protein Conformation Protein Structure, Secondary Proteins/chemistry Quantum Theory Solvents/chemistry Static Electricity Thermodynamics Water/chemistry
Chemicals
Amino Acids Dipeptides Peptides Proteins Solvents Water
Authors & Affiliations
13 authors, click to expand affiliations / ORCID
Duan Yong
Department of Chemistry and Biochemistry, University of Delaware, Newark, Delaware 19716, USA. [email protected]
Wu Chun
Chowdhury Shibasish
Lee Mathew C
Xiong Guoming
Zhang Wei
Yang Rong
Cieplak Piotr
Luo Ray
Lee Taisung
Caldwell James
Wang Junmei
Kollman Peter
Article Info
Journal
Journal of computational chemistry
Abbr.
J Comput Chem
ISSN
0192-8651
Published
2003-12-00
Pages
1999-2012
Language
English
Region
United States
NLM ID
9878362
Subset
IM
Grants
NCRR NIH HHS · CRR-15588 · United States
NIGMS NIH HHS · GM-29072 · United States
NIGMS NIH HHS · GM-64458 · United States
NIGMS NIH HHS · GM-67168 · United States
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