Kira Radinsky

This paper introduces DynamicsPLM, a protein language model that uses conformational ensembles to improve predictions of protein interactions, localization, and function.

FusionProt integrates sequence and structural information for protein representation learning, improving performance on enzyme classification, gene ontology, and mutation stability prediction tasks.

The paper integrates ligand-protein interaction data into protein representation learning to improve predictive models for drug discovery and biological mechanisms.