Binary Classification of CNS and PNS Drugs

D. E. Polianchik; V. Yu. Grigor’ev; G. I. Sandakov; A. V. Yarkov; S. O. Bachurin; O. A. Raevskii

doi:10.1007/s11094-017-1535-1

Binary Classification of CNS and PNS Drugs

作者: Polianchik D.¹, Grigor’ev V.¹, Sandakov G.¹, Yarkov A.¹, Bachurin S.², Raevskii O.¹
隶属关系:
1. Department of Computer-Aided Molecular Design, Institute of Physiologically Active Substances, Russian Academy of Sciences
2. Department of Biomedicinal Chemistry, Institute of Physiologically Active Substances, Russian Academy of Sciences
期: 卷 50, 编号 12 (2017)
页面: 800-804
栏目: Article
URL: https://journals.rcsi.science/0091-150X/article/view/244482
DOI: https://doi.org/10.1007/s11094-017-1535-1
ID: 244482

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详细

Stable classification predictive models of 626 drugs acting on the central (CNS) and peripheral (PNS) nervous systems were constructed based on linear discriminant analysis, logistic regression, random forest, and support vector machine methods with physicochemical descriptors characterizing the steric factors, electrostatic interactions, and H-bonding features. Internal cross-validations demonstrated that these models possessed satisfactory statistical properties.