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A multi-objective evolutionary approach to the protein structure prediction problem

机译:蛋白质结构预测问题的多目标进化方法

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摘要

The protein structure prediction (PSP) problem is concerned with the prediction of the folded, native, tertiary structure of a protein given its sequence of amino acids. It is a challenging and computationally open problem, as proven by the numerous methodological attempts and the research effort applied to it in the last few years. The potential energy functions used in the literature to evaluate the conformation of a protein are based on the calculations of two different interaction energies: local (bond atoms) and non-local (non-bond atoms). In this paper, we show experimentally that those types of interactions are in conflict, and do so by using the potential energy function Chemistry at HARvard Macromolecular Mechanics. A multi-objective formulation of the PSP problem is introduced and its applicability studied. We use a multi-objective evolutionary algorithm as a search procedure for exploring the conformational space of the PSP problem.
机译:蛋白质结构预测(PSP)问题与给定其氨基酸序列的蛋白质折叠的天然三级结构的预测有关。这是一个具有挑战性和计算上的开放性的问题,最近几年来,通过大量的方法论尝试和对其进行的研究工作证明了这一点。文献中用于评估蛋白质构象的势能函数基于两种不同相互作用能的计算:局部(键原子)和非局部(非键原子)。在本文中,我们通过实验证明了这些类型的相互作用是冲突的,并且通过使用哈佛大学高分子力学学院的势能函数化学来实现。介绍了PSP问题的多目标表述,并研究了其适用性。我们使用多目标进化算法作为搜索程序,以探索PSP问题的构象空间。

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