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A Global Minimization Algorithm for Empirical Contact Potential Functions

机译:经验接触势函数的全局最小化算法

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Global minimization algorithm is indispensable for solving protein folding problems based on thermodynamic hypothesis. A contact difference( CD) based on pseudo potential function, for simulating empirical contact potential functions and testing global minimization algorithm was proposed. The present article describes a conformations] sampling and global minimization algorithm, which is called WL, based on Monte Carlo simulation and simulated annealing. It can be used to locate CD's globe minimum and refold extended protein structures, as small as 0. 03 nm, from the native structures, back to ones with root mean square distance(RMSD). These results demonstrate that the global minimization problems for empirical contact potential functions may be solvable.
机译:基于热力学假设,全局最小化算法对于解决蛋白质折叠问题必不可少。提出了一种基于伪势函数的接触差CD,用于模拟经验接触势函数并测试全局最小化算法。本文介绍了一种基于蒙特卡洛模拟和模拟退火的抽样和全局最小化算法,称为WL。它可以用来定位CD的球体最小值,并重新折叠扩展的蛋白质结构,从原始结构回到具有均方根距离(RMSD)的小至0. 03 nm。这些结果表明,经验接触势函数的全局最小化问题可以解决。

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