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Visualisation and subsets of the chemical universe database GDB-13 for virtual screening

机译:用于虚拟筛选的化学宇宙数据库GDB-13的可视化和子集

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摘要

The chemical universe database GDB-13, which enumerates 977 million organic molecules up to 13 atoms of C, N, O, S and Cl following simple chemical stability and synthetic feasibility rules, represents a vast reservoir for new fragments. GDB-13 was classified using the MQN-system discussed in the preceding paper for the analysis of PubChem fragments. Two hundred and fiftyfive subsets of GDB-13 were generated by the combinatorial use of eight restrictive criteria, including fragmentlike (‘‘rule of three’’) and scaffold-like (no acyclic carbon atoms) filters. Virtual screening for analogs of 15 commercial drugs of 13 non-hydrogen atoms or less shows that retrieving MQN-neighbors of a query molecule from GDB- 13 or its subsets provides on average a 38-fold enrichment in structural analogs (Daylight-type substructure fingerprint Tanimoto TSF> 0.7), and a 75-fold enrichment in shapesimilar analogs (ROCS TanimotoCombo score > 1.4). An MQN-searchable version of GDB-13 is provided at www.gdb.unibe.ch.
机译:根据简单的化学稳定性和合成可行性规则,化学宇宙数据库GDB-13枚举了9.77亿个有机分子,其中C,N,O,S和Cl的原子数最多为13个,代表了新片段的庞大存储库。使用先前论文中讨论的MQN系统对GDB-13进行分类,以分析PubChem片段。 GDB-13的255个子集是通过八个限制性标准的组合使用而生成的,包括片段状(“三个规则”)和脚手架状(无无环碳原子)过滤器。虚拟筛选15种13个或更少氢原子的商业药物的类似物表明,从GDB-13或其子集中检索查询分子的MQN邻域可提供平均38倍的结构类似物富集(日光型亚结构指纹Tanimoto TSF> 0.7),以及类似物类似物的75倍富集(ROCS TanimotoCombo得分> 1.4)。 www.gdb.unibe.ch提供了MQDB可搜索版本的GDB-13。

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