蛋白质结构预测的进化算法

N. Mansour, Fatima Kanj, H. Khachfe
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引用次数: 19

摘要

蛋白质的特征在于它的三维结构,这决定了它的生物学功能。本文提出了一种基于扭转角表示的预测蛋白质三维结构的散点搜索算法。给定蛋白质的氨基酸序列,我们的算法产生一个3D结构,旨在最小化与该结构相关的能量函数。分散搜索是一种基于候选解决方案群体的进化方法。我们用蛋白质数据库中的蛋白质来评估我们的算法。结果表明,该算法能够生成具有良好次优能值的三维结构。此外,这些结构与参考蛋白的均方根偏差在所做假设的限制范围内是有希望的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolutionary Algorithm for Protein Structure Prediction
A protein is characterized by its 3D structure,which defines its biological function. In this paper, we present a scatter search algorithm for predicting 3D structures of proteins based on torsion angles representation. Given the protein¿s sequence of amino acids, our algorithm produces a 3D structure that aims to minimize the energy function associated with the structure. Scatter search is an evolutionary approach that is based on a population of candidate solutions. We evaluate our algorithm on proteins taken from a protein data bank. The results show that our algorithm is able to produce 3D structures with good sub-optimal energy values. Also, the root mean square deviations of these structures from the reference proteins are promising within limits imposed by the assumptions made.
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