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Department of Computer Science, University of New Orleans, New Orleans, LA, USA
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By fusing protein language model embeddings with structural data, ESMDisPred achieves state-of-the-art accuracy in predicting intrinsically disordered proteins, a feat that could accelerate drug discovery and structural biology.