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Leveraging protein language and structural models for early prediction of antibodies with fast clearance

2024-06-09

Abstract excerpt

Monoclonal antibodies (mAbs) with long systemic persistence are widely used as therapeutics. However, antibodies with atypically fast clearance require more dosing, limiting their clinical usefulness. Deep learning can facilitate using sequence-based modeling to predict potential pharmacokinetic (PK) liabilities before antibody generation. Assembling a dataset of 103 mAbs with measured nonspecific clearance in cyn...

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Literature Corpus work
8245dbdf-d204-5f17-8c11-2fbd449f87ed
DOI
10.1101/2024.06.08.597997
Open publication

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Leveraging protein language and structural models for early prediction of antibodies with fast clearanceDOI 10.1101/2024.06.08.597997
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