Shengfan Wang

AuditPPI evaluates PPI predictors by transforming language model features into auditable fingerprints, revealing that predictive success does not necessarily reflect biological signal capture.

This paper introduces AlignIF, a method for 3D RNA inverse folding that uses structural alignments and a novel encoder to generate RNA sequences with improved performance.

RBPSignal predicts RNA-protein binding signals using deep learning and identifies sequence motifs, validated against eCLIP data and existing databases.