TPepPro: a deep learning model for predicting peptide–protein interactions

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Publication Details

Journal
Bioinformatics
Published
2024-11-25
DOI
https://doi.org/10.1093/bioinformatics/btae708
Citations
11
Primary Topic
Chemical Synthesis and Analysis
Type
article
Field-Weighted Citation Impact
2.57

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article

TPepPro: a deep learning model for predicting peptide–protein interactions

Qiuping Jiang, Zimeng Chen, Junwen Wang, Dan Yu et al.
11 citations
Bioinformatics
Chemical Synthesis and Analysis
2.57
article

TPepPro: a deep learning model for predicting peptide–protein interactions

Qiuping Jiang, Zimeng Chen, Junwen Wang, Dan Yu, Jing Qin, Bin Yan, Jin Xiao-hong, Zhixiang Chen, Yong Liu
article en
11 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 41(1)
Sun Yat-sen University (CN), Guangxi Minzu University (CN), Chinese University of Hong Kong (HK), Shenzhen University (CN), University of Hong Kong - Shenzhen Hospital (CN), University of Hong Kong (HK)
University of Hong Kong
Partnerships for the goals
Openalex Percentile: Top 10%
Chemical Synthesis and Analysis
2.57
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