Article

Machine Learning-Guided Antibody Engineering That Leverages Domain Knowledge To Overcome The Small Data Problem

2023-06-05

Abstract excerpt

The application of Machine Learning (ML) tools to engineer novel antibodies having predictable functional properties is gaining prominence. Herein, we present a platform that employs an ML-guided optimization of the complementarity-determining region (CDR) together with a CDR framework (FR) shuffling method to engineer affinity-enhanced and clinically developable monoclonal antibodies (mAbs) from a limited experim...

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Identifiers and source

Literature Corpus work: 07e442d5-7670-5c26-b542-483eff44178a
DOI: 10.1101/2023.06.02.543458

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