Enhancing preclinical drug discovery with artificial intelligence
Ramachandran Vijayan, Jan Kihlberg, Jason B. Cross, Vasanthanathan Poongavanam
Abstract
Artificial intelligence (AI) is becoming an integral part of drug discovery. It has the potential to deliver across the drug discovery and development value chain, starting from target identification and reaching through clinical development. In this review, we provide an overview of current AI technologies and a glimpse of how AI is reimagining preclinical drug discovery by highlighting examples where AI has made a real impact. Considering the excitement and hyperbole surrounding AI in drug discovery, we aim to present a realistic view by discussing both opportunities and challenges in adopting AI in drug discovery.
Topics & Concepts
Drug discoveryIdentification (biology)Computer scienceData scienceDrug developmentDrugHyperboleMedicineBioinformaticsPharmacologyBiologyMetaphorLinguisticsBotanyPhilosophyComputational Drug Discovery MethodsGenetics, Bioinformatics, and Biomedical Researchvaccines and immunoinformatics approaches