AI-augmented physics-based docking for antibody-antigen complex prediction

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Publication Details

Journal
Bioinformatics
Published
2025-03-23
DOI
https://doi.org/10.1093/bioinformatics/btaf129
Citations
6
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
8.16
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article

AI-augmented physics-based docking for antibody-antigen complex prediction

Christopher R. Corbeil, Traian Sulea, Francis Gaudreault
6 citations
Bioinformatics
Monoclonal and Polyclonal Antibodies Research
8.16
article

AI-augmented physics-based docking for antibody-antigen complex prediction

Christopher R. Corbeil, Traian Sulea, Francis Gaudreault
article en
6 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 41(4)
Ste. Anne's Hospital (CA), National Research Council Canada (CA), McGill University (CA)
Openalex Percentile: Top 3%
Monoclonal and Polyclonal Antibodies Research
8.16
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AI-augmented physics-based docking for antibody-antigen complex prediction — Christopher R. Corbeil, Traian Sulea, et al. · Bioinformatics (2025) | TGRS Research Map | TGRS