Resolving the structural basis of therapeutic antibody function in cancer immunotherapy with RESI



Summary

RESI, or Relative Entropy Scanning of Interactions, is a computational approach that identifies key amino acid residues in antibody-antigen interactions crucial for therapeutic function, particularly in cancer immunotherapy. By analyzing sequence variability across a diverse antibody repertoire, RESI pinpoints residues essential for binding and functional efficacy. This information enables the rational design of improved antibodies with enhanced therapeutic potential, optimizing their ability to target cancer cells and elicit effective immune responses. RESI offers a powerful tool for understanding and engineering therapeutic antibodies by focusing on the structural determinants of their functionality.

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