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Optimization of therapeutic antibodies for reduced self-association and non-specific binding via interpretable machine learning - Nature Biomedical Engineering
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Antibody development, delivery, and efficacy are influenced by antibody-antigen affinity interactions, off-target interactions that reduce antibody bioavailability and pharmacokinetics, and repulsive self-interactions that increase the stability of concentrated antibody formulations and reduce their corresponding viscosity. Yet identifying antibody variants with optimal combinations of these three types of interactions is challenging.
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