Suppr超能文献

蛋白质分子建模和动力学研究的全原子经验势。

All-atom empirical potential for molecular modeling and dynamics studies of proteins.

机构信息

Department of Chemistry & Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, Department of Pharmaceutical Sciences, University of Maryland, School of Pharmacy, Baltimore, Maryland 21201, and Laboratoire de Chimie Biophysique, ISIS, Institut Le Bel, Université Louis Pasteur, 67000 Strasbourg, France.

出版信息

J Phys Chem B. 1998 Apr 30;102(18):3586-616. doi: 10.1021/jp973084f.

Abstract

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.

摘要

报告了用于 CHARMM 程序全原子经验能量函数的新蛋白质参数。参数评估基于一种自洽方法,旨在平衡力场的内部(键合)和相互作用(非键合)项以及溶剂-溶剂、溶剂-溶质和溶质-溶质相互作用。内部参数的优化使用了实验气相几何形状、振动光谱和扭转能表面,以及从头算结果。肽骨架键参数是针对 N-甲基乙酰胺和丙氨酸二肽的数据进行优化的。相互作用参数,特别是原子电荷,是通过拟合水和代表骨架和各种侧链的模型化合物之间的从头算相互作用能和几何形状来确定的。此外,在优化中还使用了偶极矩、实验汽化热和自由能、溶剂化和升华、分子体积以及晶体压力和结构。应用这些蛋白质参数对非环三肽晶体、环肽晶体以及 crambin、牛胰蛋白酶抑制剂和碳氧肌红蛋白进行了测试,这些蛋白质是在真空中和晶体中进行的。对丙氨酸二肽势能面和计算得到的蛋白质φ、χ角之间的关系进行了详细分析,并用于优化肽基团扭转参数。结果表明,仅使用从头算结构和能量数据不足以获得溶液中和晶体中肽和蛋白质的足够的骨架表示。对多肽和蛋白质的结构和动态性质进行了广泛的分子动力学模拟和实验数据之间的比较。对晶体进行了能量最小化和动力学模拟,以获得与实验晶体结构进行有意义比较的结果。所提出的参数与之前发表的用于核酸和脂质的 CHARMM 全原子参数相结合,为生物相关分子的各种凝聚相模拟提供了一致的参数集。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验