Benchmarking antibody clustering methods using sequence, structural, and machine learning similarity measures for antibody discovery applications

Benchmarking antibody clustering methods using sequence, structural, and machine learning similarity measures for antibody discovery applications

Antibodies are proteins produced by our immune system that have been harnessed as biotherapeutics. The discovery of antibody-based therapeutics relies on analyzing large volumes of diverse sequences coming from phage display or animal immunizations. Identification of suitable therapeutic candidates...

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Bibliographic Details
Main Authors: Dawid Chomicz, Jarosław Kończak, Sonia Wróbel, Tadeusz Satława, Paweł Dudzic, Bartosz Janusz, Mateusz Tarkowski, Piotr Deszyński, Tomasz Gawłowski, Anna Kostyn, Marek Orłowski, Tomasz Klaus, Lukas Schulte, Kyle Martin, Stephen R. Comeau, Konrad Krawczyk
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Molecular Biosciences
Subjects:
drug discovery
antibodies
machine learning
biologics and biosimilars
clustering
language models (LMs)
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2024.1352508/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2024.1352508/full

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