Portal de Periódicos da CAPES

Using Transcriptomics and Cell Morphology Data in Drug Discovery: The Long Road to Practice

2023; American Chemical Society; Volume: 14; Issue: 4 Linguagem: Inglês

10.1021/acsmedchemlett.3c00015

1948-5875

Lavinia-Lorena Pruteanu, Andreas Bender,

Computational Drug Discovery Methods

Gene expression and cell morphology data are high-dimensional biological readouts of much recent interest for drug discovery. They are able to describe biological systems in different states (e.g., healthy and diseased), as well as biological systems before and after compound treatment, and they are hence useful for matching both spaces (e.g., for drug repurposing) as well as for characterizing compounds with respect to efficacy and safety endpoints. This Microperspective describes recent advances in this direction with a focus on applied drug discovery and drug repurposing, as well as outlining what else is needed to advance further, with a particular focus on better understanding the applicability domain of readouts and their relevance for decision making, which is currently often still unclear.