
An active learning workflow that efficiently trains a deep learning model to learn energy functions for specific protein targets, combining the advantages of machine learning and physics-based computations to achieve more efficient antibody development.


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efficient-computational-workflow-for-optimizing-antibody-binding-affinity-using-active-learning-and-physics-based-modeling


Efficient Computational Workflow for Optimizing Antibody Binding Affinity Using Active Learning and Physics-Based Modeling
