A Parallel Algorithm for the Prediction of Protein Binding Sites

M. Mirto, G. Aloisio
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Abstract

The Pocket-Finder algorithm identifies the location of ligand binding sites in a protein and is a fundamental component for a range of applications including molecular docking, de novo drug design and structural identification and comparison of functional sites. In this paper, we propose a parallel version of the Pocket-Finder algorithm. The proposed parallel algorithm uses a geometrical approach to locate favorable binding sites and has been MPI-enabled for parallel execution. The proposed algorithm has been applied on a small test of 15 proteins and 2 proteins complexes. The algorithm gets very interesting results when applied to large proteins.
蛋白质结合位点预测的并行算法
Pocket-Finder算法可以识别蛋白质中配体结合位点的位置,是一系列应用的基本组成部分,包括分子对接、从头开始的药物设计、结构鉴定和功能位点比较。在本文中,我们提出了一个并行版本的Pocket-Finder算法。提出的并行算法使用几何方法来定位有利的结合位点,并已启用mpi并行执行。该算法已应用于15种蛋白质和2种蛋白质复合物的小测试。该算法在应用于大型蛋白质时得到了非常有趣的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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