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Method of performing three-dimensional molecular superposition and similarity searches in databases of flexible molecules

机译:在柔性分子数据库中进行三维分子叠加和相似性搜索的方法

摘要

The virtual screening of a database of molecules is based on explicit three-dimensional molecular superpositions. The torsional flexibility of the database molecules is taken fully into account, and an arbitrary number of conformation-dependent molecular features may be considered. A fragmentation-reassembly approach is utilized, which allows for an efficient sampling of the conformational space. A fast clique-based pattern-matching algorithm generates alignments of pairs of adjacent molecular fragments on the (rigid) query molecule that are subsequently reassembled to complete database molecules. Using conventional molecular features (hydrogen bond donors and acceptors, charges, and hydrophobic groups), it is possible to rapidly produce accurate alignments of medium-sized drug-like molecules. Examples with a test database containing a diverse set of 1780 drug-like molecules (including all conformers) show that average query processing times of the order of 0.1 seconds per molecule can be achieved on a PC, depending on the size of the query molecule.
机译:分子数据库的虚拟筛选基于显式三维分子叠加。充分考虑了数据库分子的扭转柔韧性,可以考虑任意数量的依赖构象的分子特征。利用碎片重组方法,该方法允许对构象空间进行有效采样。一种快速的基于派系的模式匹配算法在(刚性)查询分子上生成相邻分子片段对的比对,随后将其重新组装以完成数据库分子。使用常规的分子特征(氢键供体和受体,电荷和疏水基团),可以快速产生中等大小的类药物分子的精确比对。包含一组包含1780种药物样分子(包括所有构象异构体)的测试数据库的示例显示,取决于查询分子的大小,在PC上可以实现每分子大约0.1秒的平均查询处​​理时间。

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