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This paper addresses the problem of sequence-based antibody design, a timely and important application for generative models of protein sequences. To this end, the authors introduce an innovative and effective new modeling approach specifically tailored to the problem of handling discrete protein sequence data. In addition to validating the method in silico, the authors perform extensive wet lab experiments to measure antibody binding affinity in vitro, demonstrating the effectiveness of their generative method.

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