利用比较分子相互作用谱分析系统进行分子评价

Yoshiharu Hayashi, Katsuyoshi Sakaguchi, Nao Iwata, Masaki Kobayashi
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引用次数: 0

摘要

基于计算对接研究结果创建新的分子描述因子将为分子评价增加新的维度。本文提出了一种新的分子描述因子分析系统——CoMIPA (comparative molecular interaction profile analysis system),该系统利用AutoDock程序对小分子化合物-蛋白质复合物进行对接评价。计算相互作用能,得到的数据集称为相互作用剖面(IPFs)。使用IPF作为评分指标,该系统可以作为一个强大的工具来聚类小分子和生物大分子之间的相互作用特性,如配体-受体结合。该系统可以使用计算分子对接结果来解释生物事件,如药物不良反应和可能由环境激素引起的其他不可预见的相互作用。我们相信,该系统有潜力成为连接计算科学和生物学的主要垫脚石。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular evaluation using comparative molecular interaction profile analysis system
Creating a new molecular description factor based on the results of computational docking study will add new dimensions in molecular evaluation. We propose a new molecular description factor analysis system named comparative molecular interaction profile analysis system (CoMIPA) in which the AutoDock program is used for docking evaluation of small molecule compound-protein complexes. Interaction energies are calculated, and the data sets obtained are named interaction profiles (IPFs). Using IPF as a scoring indicator, the system could be a powerful tool to cluster the interacting properties between small molecules and bio macromolecules such as ligand-receptor bindings. The system can use computational molecular docking results to explain biological events such as adverse drug reactions and possibly other unforeseen interactions caused by environmental hormones. We believe that the system has the potential to be a major stepping-stone for bridging computational science and biology.
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