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arXiv 1403.4871cs.NEcs.CE
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药物发现的进化算法中期设计报告

Evolutionary Algorithm for Drug Discovery Interim Design Report

Mark Shackelford

摘要:

一种软件程序,旨在提供对潜在药物分子的搜索空间的探索能力。该程序通过生成随机分子来探索搜索空间,确定它们的适应性,然后从最适合的个体中繁殖新一代。理论上,搜索空间是任何元素以任何顺序的任何组合,其受到元素子集和片段列表的使用的约束,所述片段是已知在药物开发中有用的分子部分。每一代产生的分子都存储在一个可搜索的数据库中,这样用户就可以浏览前几代分子,寻找感兴趣的分子。

英文摘要:

A software program which aims to provide an exploration capability over the Search Space of potential drug molecules. The program explores the search space by generating random molecules, determining their fitness and then breeding a new generation from the fittest individuals. The search space, in theory any combination of any elements in any order, is constrained by the use of a subset of elements and a list of fragments, molecular parts that are known to be useful in drug development. The resultant molecules from each generation are stored in a searchable database, so that the user can browse through previous generations looking for interesting molecules.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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