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Apr 2, 2025
The Icahn School of Medicine at Mount Sinai has launched the AI Small Molecule Drug Discovery Center, a bold endeavor that harnesses artificial intelligence (AI) to revolutionize drug development. The new Center will integrate AI with traditional drug discovery methods to identify and design new small-molecule therapeutics with unprecedented speed and precision. Unlike conventional drug discovery, which can take years and cost billions, AI-driven approaches enable researchers to rapidly navigate a vast chemical landscape, including natural products, to pinpoint promising drug candidates.
By leveraging Mount Sinai’s world-leading expertise in machine learning, chemical biology, and biomedical data science, the Center aims to bring innovative treatments to patients faster—particularly for diseases with urgent unmet needs, including cancer, metabolic disorders, and neurodegenerative diseases. At Mount Sinai, we are dedicated to redefining the future of medical innovation, says Avner Schlessinger, PhD, Professor of Pharmacological Sciences and Associate Director of the Mount Sinai Center for Therapeutics Discovery at the Icahn School of Medicine at Mount Sinai, who will lead the Center.
By integrating artificial intelligence with cutting-edge chemistry and biology, we can dramatically accelerate drug discovery and develop new treatments for some of the most complex and pressing diseases. The AI Small Molecule Drug Discovery Center will focus on three core areas: designing novel drug-like molecules using generative AI, optimizing existing compounds to enhance their efficacy and safety, and predicting drug-target interactions to repurpose known drugs or natural products for new indications.
The AI Small Molecule Drug Discovery Center will also foster collaborations with leading pharmaceutical companies, biotech firms, and academic institutions to drive drug development. Additionally, it provides hands-on training for the next generation of scientists through seminars, internship programs, and AI-driven drug discovery hackathons.