Applications and challenges in designing VHH-based bispecific antibodies: leveraging machine learning solutions

Applications and challenges in designing VHH-based bispecific antibodies: leveraging machine learning solutions

The development of bispecific antibodies that bind at least two different targets relies on bringing together multiple binding domains with different binding properties and biophysical characteristics to produce a drug-like therapeutic. These building blocks play an important role in the overall qua...

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Bibliographic Details
Main Authors: Michael Mullin, James McClory, Winston Haynes, Justin Grace, Nathan Robertson, Gino van Heeke
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:mAbs
Subjects:
Bayesian optimization
bispecific
HCAb
machine learning
multispecific
nanobody
Online Access:https://www.tandfonline.com/doi/10.1080/19420862.2024.2341443
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https://www.tandfonline.com/doi/10.1080/19420862.2024.2341443

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