Toward enhancement of antibody thermostability and affinity by computational design in the absence of antigen

Toward enhancement of antibody thermostability and affinity by computational design in the absence of antigen

Over the past two decades, therapeutic antibodies have emerged as a rapidly expanding domain within the field of biologics. In silico tools that can streamline the process of antibody discovery and optimization are critical to support a pipeline that is growing more numerous and complex every year....

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Bibliographic Details
Main Authors: Mark Hutchinson, Jeffrey A. Ruffolo, Nantaporn Haskins, Michael Iannotti, Giuliana Vozza, Tony Pham, Nurjahan Mehzabeen, Harini Shandilya, Keith Rickert, Rebecca Croasdale-Wood, Melissa Damschroder, Ying Fu, Andrew Dippel, Jeffrey J. Gray, Gilad Kaplan
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:mAbs
Subjects:
Antibodies
computational design
developability
machine learning
thermostability
Online Access:https://www.tandfonline.com/doi/10.1080/19420862.2024.2362775
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https://www.tandfonline.com/doi/10.1080/19420862.2024.2362775

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