全原子CSAW方法模拟蛋白质折叠

Weitao Sun
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引用次数: 3

摘要

条件自回避行走(CSAW)是一种基于朗格万方程和蒙特卡罗方法的新型从头算蛋白质折叠仿真模型。多肽链被分成由共价键排列的有效刚性曲柄单元。唯一的自由度是围绕这些键的旋转。本文采用真实的原子构象来模拟氨基酸侧链,而不是用硬球来模拟。在计算全原子CSAW的疏水能和静电能时,考虑了各侧链的特殊羽毛。通过引入长距离静电相互作用,改进的CSAW首次成功地模拟了1A7W中的α螺旋和3AIT中的β片/链。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protein folding simulation by all-atom CSAW method
Conditioned self-avoiding walk (CSAW) is a novel ab initio protein folding simulation model based on Langevin equation and Monte-Carlo method. The polypeptide chain is divided into effectively rigid crank units lined by covalent bonds. The only degrees of the freedom are rotations around these bonds. Instead of a hard sphere, the amino acid side chains are modeled by real atom conformation in this paper. The particular feathers of each side chain are considered in calculating the hydrophobic and electrostatic energy in all-atom CSAW. By introducing long range electrostatic interactions, not only the alpha helixes in 1A7W but also beta sheets/strands in 3AIT are successfully simulated for the first time by improved CSAW.
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