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多肽和蛋白质的构象能计算:使用统计力学方法评估结构和性质。

Conformational energy calculations on polypeptides and proteins: use of a statistical mechanical procedure for evaluating structure and properties.

作者信息

Scheraga H A, Paine G H

出版信息

Ann N Y Acad Sci. 1986;482:60-8. doi: 10.1111/j.1749-6632.1986.tb20937.x.

DOI:10.1111/j.1749-6632.1986.tb20937.x
PMID:3471114
Abstract

We are using a variety of theoretical and computational techniques to study protein structure, protein folding, and higher-order structures. Our earlier work involved treatments of liquid water and aqueous solutions of nonpolar and polar solutes, computations of the stabilities of the fundamental structures of proteins and their packing arrangements, conformations of small cyclic and open-chain peptides, structures of fibrous proteins (collagen), structures of homologous globular proteins, introduction of special procedures as constraints during energy minimization of globular proteins, and structures of enzyme-substrate complexes. Recently, we presented a new methodology for predicting polypeptide structure (described here); the method is based on the calculation of the probable and average conformation of a polypeptide chain by the application of equilibrium statistical mechanics in conjunction with an adaptive, importance sampling Monte Carlo algorithm. As a test, it was applied to Met-enkephalin.

摘要

我们正在运用多种理论和计算技术来研究蛋白质结构、蛋白质折叠及高阶结构。我们早期的工作包括对液态水以及非极性和极性溶质的水溶液的处理,蛋白质基本结构及其堆积排列稳定性的计算,小环肽和开链肽的构象,纤维状蛋白质(胶原蛋白)的结构,同源球状蛋白质的结构,在球状蛋白质能量最小化过程中引入特殊程序作为约束条件,以及酶 - 底物复合物的结构。最近,我们提出了一种预测多肽结构的新方法(在此处描述);该方法基于通过结合自适应重要性抽样蒙特卡罗算法应用平衡统计力学来计算多肽链的可能构象和平均构象。作为测试,它被应用于甲硫氨酸脑啡肽。

相似文献

1
Conformational energy calculations on polypeptides and proteins: use of a statistical mechanical procedure for evaluating structure and properties.多肽和蛋白质的构象能计算:使用统计力学方法评估结构和性质。
Ann N Y Acad Sci. 1986;482:60-8. doi: 10.1111/j.1749-6632.1986.tb20937.x.
2
Statistical mechanics of protein folding, unfolding and fluctuation.蛋白质折叠、解折叠及波动的统计力学
Adv Biophys. 1976:65-113.
3
The multiple-minima problem in the conformational analysis of polypeptides. III. An electrostatically driven Monte Carlo method: tests on enkephalin.多肽构象分析中的多极小值问题。III. 一种静电驱动的蒙特卡罗方法:对脑啡肽的测试。
J Protein Chem. 1989 Apr;8(2):263-87. doi: 10.1007/BF01024949.
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On the multiple-minima problem in the conformational analysis of polypeptides. IV. Application of the electrostatically driven Monte Carlo method to the 20-residue membrane-bound portion of melittin.多肽构象分析中的多极小值问题。IV. 静电驱动蒙特卡罗方法在蜂毒素20个残基的膜结合部分的应用
Biopolymers. 1990;30(1-2):165-76. doi: 10.1002/bip.360300116.
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Determination of the conformation of folding initiation sites in proteins by computer simulation.通过计算机模拟确定蛋白质折叠起始位点的构象
Proteins. 1995 Oct;23(2):129-41. doi: 10.1002/prot.340230203.
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Prediction of conformation of rat galanin in the presence and absence of water with the use of Monte Carlo methods and the ECEPP/3 force field.运用蒙特卡罗方法和ECEPP/3力场预测有无水存在时大鼠甘丙肽的构象。
J Protein Chem. 1994 May;13(4):375-80. doi: 10.1007/BF01901693.
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Biased probability Monte Carlo conformational searches and electrostatic calculations for peptides and proteins.用于肽和蛋白质的偏置概率蒙特卡罗构象搜索及静电计算。
J Mol Biol. 1994 Jan 21;235(3):983-1002. doi: 10.1006/jmbi.1994.1052.
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Prediction of polyelectrolyte polypeptide structures using Monte Carlo conformational search methods with implicit solvation modeling.使用具有隐式溶剂化建模的蒙特卡罗构象搜索方法预测聚电解质多肽结构。
Protein Sci. 1995 Oct;4(10):2019-31. doi: 10.1002/pro.5560041007.
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Monte Carlo sampling algorithm for searching a scale-transformed energy space of polypeptides.用于搜索多肽尺度变换能量空间的蒙特卡罗采样算法。
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Monte Carlo minimization with thermalization for global optimization of polypeptide conformations in cartesian coordinate space.在笛卡尔坐标空间中,采用带热化的蒙特卡罗最小化方法对多肽构象进行全局优化。
Proteins. 1992 Sep;14(1):102-9. doi: 10.1002/prot.340140111.

引用本文的文献

1
Monte Carlo-minimization approach to the multiple-minima problem in protein folding.蛋白质折叠中多极小值问题的蒙特卡罗最小化方法。
Proc Natl Acad Sci U S A. 1987 Oct;84(19):6611-5. doi: 10.1073/pnas.84.19.6611.
2
Symposium overview. Minnesota Conference on Supercomputing in Biology: Proteins, Nucleic Acids, and Water.研讨会概述。明尼苏达生物超级计算会议:蛋白质、核酸与水。
J Comput Aided Mol Des. 1988 Jan;1(4):271-81. doi: 10.1007/BF01677276.
3
Monte Carlo simulation of equilibrium globular protein folding: alpha-helical bundles with long loops.
平衡球状蛋白质折叠的蒙特卡罗模拟:具有长环的α-螺旋束
Proc Natl Acad Sci U S A. 1989 Apr;86(8):2668-72. doi: 10.1073/pnas.86.8.2668.
4
A strategy for finding classes of minima on a hypersurface: implications for approaches to the protein folding problem.一种在超曲面上寻找极小值类别的策略:对蛋白质折叠问题解决方法的启示。
Proc Natl Acad Sci U S A. 1991 Dec 15;88(24):11076-80. doi: 10.1073/pnas.88.24.11076.
5
A lattice model for protein structure prediction at low resolution.一种用于低分辨率蛋白质结构预测的晶格模型。
Proc Natl Acad Sci U S A. 1992 Apr 1;89(7):2536-40. doi: 10.1073/pnas.89.7.2536.