1. Academic Validation
  2. An Analysis of Successful Hit-to-Clinical Candidate Pairs

An Analysis of Successful Hit-to-Clinical Candidate Pairs

  • J Med Chem. 2023 Jun 8;66(11):7101-7139. doi: 10.1021/acs.jmedchem.3c00521.
Dean G Brown 1
Affiliations

Affiliation

  • 1 Jnana Therapeutics, One Design Center Pl Suite 19-400, Boston, Massachusetts 02210, United States.
Abstract

An analysis of 156 published clinical candidates from the Journal of Medicinal Chemistry between 2018 and 2021 was conducted to identify lead generation strategies most frequently employed leading to drug candidates. As in a previous publication, the most frequent lead generation strategies resulting in clinical candidates were from known compounds (59%) followed by random screening approaches (21%). The remainder of the approaches included directed screening, fragment screening, DNA-encoded library screening (DEL), and virtual screening. An analysis of similarity was also conducted based on Tanimoto-MCS and revealed most clinical candidates were distant from their original hits; however, most shared a key pharmacophore that translated from hit-to-clinical candidate. An examination of frequency of oxygen, nitrogen, fluorine, chlorine, and sulfur incorporation in clinical candidates was also conducted. The three most similar and least similar hit-to-clinical pairs from random screening were examined to provide perspective on changes that occur that lead to successful clinical candidates.

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