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蛋白质折叠的计算机建模:简化和详细蛋白质模型的构象与能量分析

Computer modeling of protein folding: conformational and energetic analysis of reduced and detailed protein models.

作者信息

Monge A, Lathrop E J, Gunn J R, Shenkin P S, Friesner R A

机构信息

Department of Chemistry, Columbia University, New York, NY 10027, USA.

出版信息

J Mol Biol. 1995 Apr 14;247(5):995-1012. doi: 10.1006/jmbi.1995.0195.

Abstract

Recently we developed methods to generate low-resolution protein tertiary structures using a reduced model of the protein where secondary structure is specified and a simple potential based on a statistical analysis of the Protein Data Bank is employed. Here we present the results of an extensive analysis of a large number of detailed, all-atom structures generated from these reduced model structures. Following side-chain addition, minimization and simulated annealing simulations are carried out with a molecular mechanics potential including an approximate continuum solvent treatment. By combining reduced model simulations with molecular modeling calculations we generate energetically competitive, plausible misfolded structures which provide a more significant test of the potential function than current misfolded models based on superimposing the native sequence on the folded structures of completely different proteins. The various contributions to the total energy and their interdependence are analyzed in detail for many conformations of three proteins (myoglobin, the C-terminal fragment of the L7/L12 ribosomal protein, and the N-terminal domain of phage 434 repressor). Our analysis indicates that the all-atom potential performs reasonably well in distinguishing the native structure. It also reveals inadequacies in the reduced model potential, which suggests how this potential can be improved to yield greater accuracy. Preliminary results with an improved potential are presented.

摘要

最近,我们开发了一些方法,利用一种简化的蛋白质模型来生成低分辨率的蛋白质三级结构,在该模型中二级结构是明确指定的,并且采用了基于蛋白质数据库统计分析的简单势能函数。在此,我们展示了对大量从这些简化模型结构生成的详细全原子结构进行广泛分析的结果。在添加侧链之后,使用包含近似连续溶剂处理的分子力学势能函数进行最小化和模拟退火模拟。通过将简化模型模拟与分子建模计算相结合,我们生成了能量上具有竞争力且合理的错误折叠结构,与当前基于将天然序列叠加到完全不同蛋白质的折叠结构上的错误折叠模型相比,这些结构对势能函数提供了更具意义的检验。针对三种蛋白质(肌红蛋白、L7/L12核糖体蛋白的C末端片段以及噬菌体434阻遏物的N末端结构域)的多种构象,详细分析了对总能量的各种贡献及其相互依赖性。我们的分析表明,全原子势能函数在区分天然结构方面表现相当不错。它还揭示了简化模型势能函数的不足之处,这表明了如何改进该势能函数以提高准确性。文中展示了使用改进后的势能函数的初步结果。

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