Lab-in-the-loop therapeutic antibody design with deep learning

Abstract excerpt

Therapeutic antibody design is a complex multi-property optimization problem with substantial promise for improvement with the application of machine-learning methods. Towards realizing that promise, we introduce “Lab-in-the-loop,” a new approach that orchestrates state-of-the-art repertoire mining methods, generative machine learning models, multi-task property predictors, active learning ranking and selection, a...

Topics

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• Toxin Mechanisms and Immunotoxins
• Advanced Biosensing Techniques and Applications
• Monoclonal and Polyclonal Antibodies Research
• Protein purification and stability
• vaccines and immunoinformatics approaches
• Viral Infectious Diseases and Gene Expression in Insects

Identifiers and source

Literature Corpus work

4cdc623a-57f3-5fd5-a66a-d6ec0de8d76d

DOI

10.1101/2025.02.19.639050