Recent AI advancements, particularly with tools like AlphaFold 3, are transforming how scientists predict biomolecular structures. However, inherent limitations in handling stereochemistry challenge their practical applications.
While AlphaFold 3 has shown remarkable capabilities in structure prediction, its current limitations in accurately modeling stereochemistry are becoming increasingly evident, raising concerns for its reliability in complex biological contexts.
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