All-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of Proteins

化学 溶剂化 分子动力学 从头算 二肽 化学物理 计算化学 势能 蛋白质结晶 结晶学 热力学 物理 溶剂 有机化学 原子物理学 结晶 生物化学
作者
Alexander D. MacKerell,Donald Bashford,M. Bellott,Roland L. Dunbrack,Jeffrey D. Evanseck,Martin J. Field,Stefan Fischer,Jun Gao,Hong Guo,Sookhee Ha,Diane Joseph‐McCarthy,L. Kuchnir,Krzysztof Kuczera,Frankie Tat Kwong Lau,Carla Mattos,Stephen W. Michnick,Thuy T. M. Ngo,Dzung T. Nguyen,Blaise Prod'hom,W. E. Reiher
出处
期刊:Journal of Physical Chemistry B [American Chemical Society]
卷期号:102 (18): 3586-3616 被引量:14512
标识
DOI:10.1021/jp973084f
摘要

New protein parameters are reported for the all-atom empirical energy function in the CHARMM program. The parameter evaluation was based on a self-consistent approach designed to achieve a balance between the internal (bonding) and interaction (nonbonding) terms of the force field and among the solvent-solvent, solvent-solute, and solute-solute interactions. Optimization of the internal parameters used experimental gas-phase geometries, vibrational spectra, and torsional energy surfaces supplemented with ab initio results. The peptide backbone bonding parameters were optimized with respect to data for N-methylacetamide and the alanine dipeptide. The interaction parameters, particularly the atomic charges, were determined by fitting ab initio interaction energies and geometries of complexes between water and model compounds that represented the backbone and the various side chains. In addition, dipole moments, experimental heats and free energies of vaporization, solvation and sublimation, molecular volumes, and crystal pressures and structures were used in the optimization. The resulting protein parameters were tested by applying them to noncyclic tripeptide crystals, cyclic peptide crystals, and the proteins crambin, bovine pancreatic trypsin inhibitor, and carbonmonoxy myoglobin in vacuo and in crystals. A detailed analysis of the relationship between the alanine dipeptide potential energy surface and calculated protein φ, χ angles was made and used in optimizing the peptide group torsional parameters. The results demonstrate that use of ab initio structural and energetic data by themselves are not sufficient to obtain an adequate backbone representation for peptides and proteins in solution and in crystals. Extensive comparisons between molecular dynamics simulations and experimental data for polypeptides and proteins were performed for both structural and dynamic properties. Energy minimization and dynamics simulations for crystals demonstrate that the latter are needed to obtain meaningful comparisons with experimental crystal structures. The presented parameters, in combination with the previously published CHARMM all-atom parameters for nucleic acids and lipids, provide a consistent set for condensed-phase simulations of a wide variety of molecules of biological interest.
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