Article

Predicting Protein-RNA Binding Affinity Changes via Spatial Coupling-Aware State Space Modeling

2026-08-24

Abstract excerpt

Accurately predicting the effects of mutations on protein-RNA binding is crucial for elucidating disease mechanisms. Yet, exhaustively exploring the space of all possible variants is prohibitively expensive, motivating computational methods that can quantify mutation-induced changes in binding affinity (aka ΔΔG) accurately and efficiently. We present iSCALE, an interpretable and generalizable deep learning method...

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Literature Corpus work: c6dcd429-c3aa-5857-95bc-12a46d38e676
DOI: 10.64898/2026.08.23.745486

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