Automated site-directed drug design: a general algorithm for knowledge acquisition about hydrogen-bonding regions at protein surfaces.

D J Danziger, P M Dean
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引用次数: 90

Abstract

This is the first of four papers that begin to explore the possibility of automated site-directed drug design. A general outline is given of the logical steps involved in approaching the problem. The starting point is the process of knowledge acquisition about the site. An algorithm is described here for the construction of a map of hydrogen-bonding regions at protein surfaces directly from the Brookhaven Protein Data Bank coordinates. Hydrogen-bonding atoms are located, intramolecular bonds are searched for, hydrogen-bonding atoms at the surface are found and hydrogen-bonding regions are computed at the accessible surface. A grid is placed within each region discovered and the probability of hydrogen bonding at each grid point is computed. The output of the program is a map of hydrogen-bonding regions displayed within a user-defined window. This information can be used as part of a knowledge base for the automatic construction of novel ligands to fit specified binding sites.

自动定点药物设计:蛋白质表面氢键区域知识获取的通用算法。
这是四篇论文中的第一篇,开始探索自动化现场导向药物设计的可能性。给出了解决这个问题所涉及的逻辑步骤的概要。起点是关于站点的知识获取过程。这里描述了一种算法,用于直接从布鲁克海文蛋白质数据库坐标构建蛋白质表面的氢键区域图。定位氢键原子,搜索分子内键,在表面找到氢键原子,并在可达表面计算氢键区域。在每个发现的区域内放置一个网格,并计算每个网格点上氢键的概率。程序的输出是在用户定义的窗口中显示的氢键区域图。这些信息可以作为知识库的一部分,用于自动构建适合特定结合位点的新型配体。
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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来源期刊
Proceedings of the Royal Society of London Series B-Containing Papers of Abiological Character
Proceedings of the Royal Society of London Series B-Containing Papers of Abiological Character 生命科学, 发育生物学与生殖生物学, 发育生物学
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