AI-powered target identification in drug discovery has the potential to accelerate and improve the process of identifying new drug targets. AI algorithms can sift through vast databases of molecular structures and predict effective compounds. However, there are limitations to AI in drug discovery, as some AI-generated molecules have not successfully transitioned to clinical development. Examples of AI-powered target identification include the University of Cambridge's identification of new targets for human disease and companies like Atomwise and Deep Genomics using AI for drug discovery.
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How AI-powered identification worksAI drug discovery limitations – what to watch out forExamples of AI-powered target identificationAtomwiseDeep GenomicsAI-powered drug discovery isn’t going awaySort: