Literature DB >> 33825353

The European Federation for Medicinal Chemistry and Chemical Biology (EFMC) Best Practice Initiative: Phenotypic Drug Discovery.

Jean Quancard1, Anders Bach2, Brian Cox3, Russell Craft4, Dirk Finsinger5, Stéphanie M Guéret6, Ingo V Hartung5, Stefan Laufer7, Josef Messinger8, Gianluca Sbardella9, Hannes F Koolman10.   

Abstract

Phenotypic drug discovery has a long track record of delivering innovative drugs and has received renewed attention in the last few years. The promise of this approach, however, comes with several challenges that should be addressed to avoid wasting time and resources on drugs with undesired modes of action or, worse, false-positive hits. In this set of best practices, we go over the essential steps of phenotypic drug discovery and provide guidance on how to increase the chance of success in identifying validated and relevant chemical starting points for optimization: selecting the right assay, selecting the right compound screening library and developing appropriate hit validation assays. Then, we highlight the importance of initiating studies to determine the mode of action of the identified hits early and present the current state of the art.
© 2021 Wiley-VCH GmbH.

Entities:  

Keywords:  best practices; modes of action; phenotypic

Mesh:

Year:  2021        PMID: 33825353     DOI: 10.1002/cmdc.202100041

Source DB:  PubMed          Journal:  ChemMedChem        ISSN: 1860-7179            Impact factor:   3.466


  2 in total

1.  Machine Learning Enables Accurate and Rapid Prediction of Active Molecules Against Breast Cancer Cells.

Authors:  Shuyun He; Duancheng Zhao; Yanle Ling; Hanxuan Cai; Yike Cai; Jiquan Zhang; Ling Wang
Journal:  Front Pharmacol       Date:  2021-12-17       Impact factor: 5.810

2.  Machine Learning Uses Chemo-Transcriptomic Profiles to Stratify Antimalarial Compounds With Similar Mode of Action.

Authors:  Ashleigh van Heerden; Roelof van Wyk; Lyn-Marie Birkholtz
Journal:  Front Cell Infect Microbiol       Date:  2021-06-29       Impact factor: 5.293

  2 in total

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