Data science in drug discovery safety: Challenges and opportunities.

ABSTRACT: Early de-risking of drug targets and chemistry is essential to provide drug projects with the best chance of success. Target safety assessments (TSAs) use target biology, gene and protein expression data, genetic information from humans and animals, and competitor compound intelligence to understand the potential safety risks associated with modulating a drug target. However, there is a vast amount of information, updated daily that must be considered for each TSA. We have developed a data science-based approach that allows acquisition of relevant evidence for an optimal TSA. This is built on expert-led conventional and artificial intelligence-based mining of literature and other bioinformatics databases. Potential safety risks are identified according to an evidence framework, adjusted to

SUBMITTER: Coltman NJ 

PROVIDER: S-EPMC10798188 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature