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LIV-3D-QSAR models for PGI2 receptor ligands using multiple conformations.

机译:使用多种构象的PGI2受体配体的LIV-3D-QSAR模型。

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摘要

A new 3D descriptor, the local intersection volume (LIV), was developed by our group and applied to the construction of 3D-QSAR models for ligands of the PGI(2) receptor (IP). The target compounds are a set of 42 aromatic heterocyclic derivatives [Meanwell et al., J. Med. Chem. 36 (1993), 3884], which show agonist activities in the IP receptor and are inhibitors of platelet aggregation. The LIV-3D-QSAR models were obtained through the analysis of 30% of the generated conformations for each compound, using a combined Genetic Algorithm (GA) and Partial Least Square (PLS) approach [Rogers and Hopfinger, J. Inf. Comput. Sci. 34 (1994) 854]. Statistically, Model 3 is the best as well as the most comprehensive in a mechanistic sense. Furthermore, it can be applied to design new IP ligands.
机译:我们的小组开发了一种新的3D描述符,即局部相交体积(LIV),并将其应用于PGI(2)受体(IP)配体的3D-QSAR模型的构建。目标化合物是一组42种芳族杂环衍生物[Meanwell等人,J.Med.Chem。化学[J.Med.Chem.36(1993),3884],其在IP受体中显示激动剂活性,并且是血小板聚集的抑制剂。 LIV-3D-QSAR模型是通过使用遗传算法(GA)和偏最小二乘(PLS)组合方法分析每种化合物生成的30%构象而获得的[Rogers和Hopfinger,J. Inf。计算科学34(1994)854]。从统计学上讲,从机械的角度来看,模型3是最好的也是最全面的。此外,它可以用于设计新的IP配体。

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