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1.
ChemMedChem ; 18(9): e202300002, 2023 05 02.
Article in English | MEDLINE | ID: mdl-36892096

ABSTRACT

Hit generation is a crucial step in drug discovery that will determine the speed and chance of success of identifying drug candidates. Many strategies are now available to identify chemical starting points, or hits, and each biological target warrants a tailored approach. In this set of best practices, we detail the essential approaches for target centric hit generation and the opportunities and challenges they come with. We then provide guidance on how to validate hits to ensure medicinal chemistry is only performed on compounds and scaffolds that engage the target of interest and have the desired mode of action. Finally, we discuss the design of integrated hit generation strategies that combine several approaches to maximize the chance of identifying high quality starting points to ensure a successful drug discovery campaign.


Subject(s)
Chemistry, Pharmaceutical , Drug Discovery , Biology
2.
ChemMedChem ; 16(11): 1736-1739, 2021 06 07.
Article in English | MEDLINE | ID: mdl-33825353

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.


Subject(s)
Chemistry, Pharmaceutical , Drug Discovery , Europe , Humans , Phenotype , Students
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