In Silico Estimation of the Safety of Pharmacologically Active Substances Using Machine Learning Methods: A Review

• Main Authors: V. V. Poroikov (Author), A. V. Dmitriev (Author), D. S. Druzhilovskiy (Author), S. M. Ivanov (Author), A. A. Lagunin (Author), P. V. Pogodin (Author), A. V. Rudik (Author), P. I. Savosina (Author), O. A. Tarasova (Author), D. A. Filimonov (Author)
• Format: Book
• Published: Ministry of Health of the Russian Federation, Federal State Budgetary Institution «Scientific Centre for Expert Evaluation of Medicinal Products», 2023-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Scientific relevance. Currently, machine learning (ML) methods are widely used in the research and development of new pharmaceuticals. ML methods are particularly important for assessing the safety of pharmacologically active substances early in the research process because such safety assessments s...