Toward More General Embeddings for Protein Design: Harnessing Joint Representations of Sequence and Structure
S. Mansoor, M. Baek, U. Madan, E. Horvitz
This paper introduces a data-efficient method for protein embeddings by jointly training on sequence and structure, improving mutation effect prediction through enriched representations.
bioRxiv · Sep 1, 2021 · PreprintBiochemistry