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AB-Gen: Antibody Library Design with Generative Pre-trained Transformer and Deep Reinforcement Learning

2023-03-21

Abstract excerpt

Antibody leads must fulfill multiple desirable properties to be clinical candidates. Primarily due to the low throughput in the experimental procedure, the need for such multi-property optimization causes the bottleneck in preclinical antibody discovery and development, because addressing one issue usually causes another. We developed a reinforcement learning (RL) method, named AB-Gen, for antibody library design...

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Identifiers and source

Literature Corpus work
1cd1ff26-6cf1-5e16-8c0b-e6289dc59239
DOI
10.1101/2023.03.17.533102
Open publication

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AB-Gen: Antibody Library Design with Generative Pre-trained Transformer and Deep Reinforcement LearningDOI 10.1101/2023.03.17.533102
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