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Application of Molecular Topological Descriptors for Clustering a Database of Isothiourea Derivatives in Studying Structure - Activity Relationships

机译:分子拓扑描述夹在研究结构 - 活性关系中聚类异菜脲衍生物数据库的应用

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摘要

A database of some S,N,N,N'-tetrasubstituted isothiourea derivatives possessing neuroprotective properties was successfully clustered in order to study the quantitative structure - activity relationship. Clustering by k-means was carried out in the factor space of topological descriptors. The identified clusters were combined according to analyses of intra- and intercluster distances. The initial number of clusters in the k-means clustering was determined from the number of iterations for which a solution was obtained. The homogeneity of the database and the identified clusters was estimated by using a coefficient of molecular diversity. A plot of the database compounds as points in factor space led to a conclusion about the successful applicability of the proposed clustering approach.
机译:成功地聚集了具有神经保护性能的一些S,N,N,N'-四氢酮衍生物的数据库,以研究定量结构 - 活性关系。 通过K-means的聚类是在拓扑描述符的因子空间中进行的。 根据分析和聚集室距离的分析组合了所识别的簇。 K-Means聚类中的簇中的初始数量是根据获得溶液的迭代的数量确定的。 通过使用分子多样性系数来估计数据库和所识别的簇的均匀性。 数据库化合物的曲线图作为因子空间的点导致了关于所提出的聚类方法的成功适用性的结论。

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