TPepRet: a deep learning model for characterizing T-cell receptors–antigen binding patterns

Authors

Wei Fan (ORCID: https://orcid.org/0000-0001-7054-2698)
Meng Wang (ORCID: https://orcid.org/0000-0002-6626-8857)
Tianrui Wu
Min Li (ORCID: https://orcid.org/0000-0003-3518-683X)

Institutions

Central South University (CN)
University of Oxford (GB)

Publication Details

Journal: Bioinformatics
Published: 2024-12-26
DOI: https://doi.org/10.1093/bioinformatics/btaf022
Citations: 4
Primary Topic: vaccines and immunoinformatics approaches
Type: article
Field-Weighted Citation Impact: 0.94

Funders

Central South University
National Science Fund for Distinguished Young Scholars

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article

TPepRet: a deep learning model for characterizing T-cell receptors–antigen binding patterns

Wei Fan, Meng Wang, Tianrui Wu, Min Li

Dec 26, 2024

4 citations

Bioinformatics

vaccines and immunoinformatics approaches

0.94

article

TPepRet: a deep learning model for characterizing T-cell receptors–antigen binding patterns

Wei Fan, Meng Wang, Tianrui Wu, Min Li

December 26, 2024article en

4 citations

Abstract

No abstract available for this paper.

BioinformaticsVol. 41(1)

Central South University (CN), University of Oxford (GB)

Central South University, National Science Fund for Distinguished Young Scholars

Openalex Percentile: Top 24%

vaccines and immunoinformatics approaches

0.94

DOI Open Access PDF OpenAlex

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