Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space

Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space

Therapeutic antibody development requires selection and engineering of molecules with high affinity and other drug-like biophysical properties. Co-optimization of multiple antibody properties remains a difficult and time-consuming process that impedes drug development. Here we evaluate the use of ma...

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Bibliographic Details
Main Authors: Desai, A.A (Author), Huang, J. (Author), Kinnunen, P.C (Author), Linderman, J.J (Author), Makowski, E.K (Author), Schardt, J.S (Author), Smith, M.D (Author), Streu, C.N (Author), Tessier, P.M (Author), Wang, T. (Author), Wu, L. (Author), Zhang, Y. (Author), Zupancic, J.M (Author)
Format: Article
Language:English
Published: Nature Research 2022
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