Nahid Monowar

Toward a Transferable Representation of Protein Dynamics for Functional Prediction and Mechanistic Discovery

This paper introduces TIDGN, a deep learning method to encode protein dynamics into a transferable latent representation, achieving high AUROC in function prediction across different proteins.