Brian M Petersen, Monica B Kirby, Karson M Chrispens, Olivia M Irvin, Isabell K Strawn, Cyrus M Haas, Alexis M Walker, Zachary T Baumer, Sophia A Ulmer, Edgardo Ayala, Emily R Rhodes, Jenna J Guthmiller, Paul J Steiner, Timothy A Whitehead
Antibodies are engineerable quantities in medicine. Learning antibody molecular recognition would enable the in silico design of high affinity binders against nearly any proteinaceous surface. Yet, publicly available experiment antibody sequence-binding datasets may not contain the mutagenic, antigenic, or antibody sequence diversity necessary for deep learning approaches to capture molecular recognition. In part, this is because limited experimental platforms exist for assessing quantitative and simultaneous sequence-function relationships for multiple antibodies...
May 10, 2024: Nature Communications