Literature DB >> 33522806

The Playbooks of Medicinal Chemistry Design Moves.

Mahendra Awale1, Jérôme Hert1, Laura Guasch1, Sereina Riniker2, Christian Kramer1.   

Abstract

Large databases of biologically relevant molecules, such as ChEMBL, SureChEMBL, or compound collections of pharmaceutical or agrochemical companies, are invaluable sources of medicinal chemistry information, albeit implicit. We developed a modified matched molecular pair approach to systematically and exhaustively extract the transformations in these databases and distill them into snippets of explicit design knowledge that are easily interpretable and directly applicable. The resulting "playbooks of medicinal chemistry design moves" capture the collective pharmaceutical and agrochemical research expertise across multiple chemists, companies, targets, and projects. They can be queried in an automated fashion for systematic prospective design and compound generation. The ChEMBL playbook and an application to exploit it are available at https://github.com/mahendra-awale/medchem_moves.

Year:  2021        PMID: 33522806     DOI: 10.1021/acs.jcim.0c01143

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  2 in total

1.  Systemic evolutionary chemical space exploration for drug discovery.

Authors:  Chong Lu; Shien Liu; Weihua Shi; Jun Yu; Zhou Zhou; Xiaoxiao Zhang; Xiaoli Lu; Faji Cai; Ning Xia; Yikai Wang
Journal:  J Cheminform       Date:  2022-04-01       Impact factor: 5.514

Review 2.  Defining Levels of Automated Chemical Design.

Authors:  Brian Goldman; Steven Kearnes; Trevor Kramer; Patrick Riley; W Patrick Walters
Journal:  J Med Chem       Date:  2022-05-05       Impact factor: 8.039

  2 in total

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