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Scientists use AI to find stable forms of molecules for drug discovery
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Fusion42 · 24 September 2026 · Fusion42 review
NYU researchers developed a graph neural network AI model trained on over 1.1 million tautomeric states from the Cambridge Structural Database to accurately predict stable tautomers of drug-like molecules, improving hydrogen atom positioning and molecular interactions relevant for drug discovery.
This Wire brief sits within Fusion42's coverage of Biotech, and 3 sources have reported it between 23 Sep 2026 and 24 Sep 2026.
◆ ◆ The Wire takeaway
You can now use AI to reduce errors in hydrogen placement in drug molecules and improve protein binding predictions. This opens an immediate door to revalidate and refine your molecule libraries for better drug simulation and discovery.
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3 sources · first reported 23 Sep 2026 · latest 24 Sep 2026
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