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A synergistic generative-ranking framework for tailored design of therapeutic single-domain antibodies

2025-05-14

Abstract excerpt

Single-domain antibodies (sdAbs) have emerged as powerful therapeutic agents due to their small size, high stability, and superior tissue penetration. However, unlike conventional monoclonal antibodies (mAbs), sdAbs lack an Fc domain, limiting their functional versatility and manufacturability. To address this challenge, we developed TFDesign-sdAb, a deep learning-based generative-ranking framework that enables ra...

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Literature Corpus work
dac1b4d9-d5db-5027-8698-b94a7371d2bd
DOI
10.1101/2025.05.09.653014
Open publication

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A synergistic generative-ranking framework for tailored design of therapeutic single-domain antibodiesDOI 10.1101/2025.05.09.653014
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