Machine-learning-based structural analysis of interactions between antibodies and antigens
Author:
Funder
National Institutes of Health
Albert Einstein College of Medicine, Yeshiva University
NIGMS
Publisher
Elsevier BV
Reference47 articles.
1. A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding;Akbar;Cell Rep.,2021
2. In silico proof of principle of machine learning-based antibody design at unconstrained scale;Akbar;mAbs,2022
3. Modeling antibody-antigen complexes by information-driven docking;Ambrosetti;Structure,2020
4. Homology modeling of antibody variable regions: methods and applications;Bansia;Methods Mol. Biol.,2023
5. Monoclonal antibodies for the treatment of melanoma: present and future strategies;Bhandaru;Methods Mol. Biol.,2019
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