There’s no question that artificial intelligence (AI) is now embedded in the drug discovery process at a growing number of companies. Machine learning, deep learning, and generative AI can help scientists generate structures for new drug candidates and explore protein-ligand binding before starting any experiments in a wet lab.
Use cases for AI in drug discovery are still evolving, and AI-powered drug ideation still must overcome many hurdles before it becomes commonplace and reliable. Here’s the latest on how AI supports drug discovery.
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