Author

Sushant Kumar

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Open access Jul 2026

Interpretable Prediction of Phase Separation and Disease Variant Effects in Intrinsically Disordered Regions

An interpretable ensemble machine-learning framework that integrates protein language model embeddings of sequence and predicted structure to predict LLPS propensity and classify proteins as self-separating or partner-dependent and identifies critical phase-separating regions and quantifies mutation-induced perturbations in LLPS.

Mingjie Zhao, Sushant Kumar · bioRxiv · 0 citations