IgPose: a generative data-augmented pipeline for robust immunoglobulin–antigen binding prediction

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Publication Details

Journal
Bioinformatics
Published
2026-02-12
DOI
https://doi.org/10.1093/bioinformatics/btag076
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
0.00
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article

IgPose: a generative data-augmented pipeline for robust immunoglobulin–antigen binding prediction

Junsu Ko, Wonjun Lee, Injae Chung, Junsu Ko et al.
Bioinformatics
Monoclonal and Polyclonal Antibodies Research
article

IgPose: a generative data-augmented pipeline for robust immunoglobulin–antigen binding prediction

Junsu Ko, Wonjun Lee, Injae Chung, Junsu Ko, Tien-Cuong Bui
article en

Abstract

No abstract available for this paper.
BioinformaticsVol. 42(3)
Seoul National University of Science and Technology (KR), New Generation University College (ET), Infrafrontier (DE)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 54%
Monoclonal and Polyclonal Antibodies Research
DOIOpen Access PDFOpenAlex
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IgPose: a generative data-augmented pipeline for robust immunoglobulin–antigen binding prediction — Junsu Ko, Wonjun Lee, et al. · Bioinformatics (2026) | TGRS Research Map | TGRS