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


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详细

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.

作者简介

E. Andreeva

Institute of Physiologically Active Compounds, Russian Academy of Sciences

编辑信件的主要联系方式.
Email: admiandrew@yandex.ru
俄罗斯联邦, 1 Severnyi Proezd, Chernogolovka, Moscow Oblast, 142432

A. Proshin

Institute of Physiologically Active Compounds, Russian Academy of Sciences

Email: admiandrew@yandex.ru
俄罗斯联邦, 1 Severnyi Proezd, Chernogolovka, Moscow Oblast, 142432

I. Serkov

Institute of Physiologically Active Compounds, Russian Academy of Sciences

Email: admiandrew@yandex.ru
俄罗斯联邦, 1 Severnyi Proezd, Chernogolovka, Moscow Oblast, 142432

L. Petrova

Institute of Physiologically Active Compounds, Russian Academy of Sciences

Email: admiandrew@yandex.ru
俄罗斯联邦, 1 Severnyi Proezd, Chernogolovka, Moscow Oblast, 142432

S. Bachurin

Institute of Physiologically Active Compounds, Russian Academy of Sciences

Email: admiandrew@yandex.ru
俄罗斯联邦, 1 Severnyi Proezd, Chernogolovka, Moscow Oblast, 142432


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