Machine learning reveals that structural features distinguishing promiscuous and non-promiscuous compounds depend on

Christian Feldmann1, Jürgen Bajorath2

  • 1Department of Life Science Informatics and Data Science, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 6, 53115, Bonn, Germany.

Scientific Reports
|April 13, 2021
PubMed
Summary

Understanding multi-target drug compounds is key in drug discovery. Machine learning revealed that promiscuous compounds possess specific structural features, but these vary by target combination, not universally.

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