PGAT-ABPp: harnessing protein language models and graph attention networks for antibacterial peptide identification with remarkable accuracy

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Publication Details

Journal
Bioinformatics
Published
2024-08-01
DOI
https://doi.org/10.1093/bioinformatics/btae497
Citations
20
Primary Topic
Antimicrobial Peptides and Activities
Type
article
Field-Weighted Citation Impact
6.89

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article

PGAT-ABPp: harnessing protein language models and graph attention networks for antibacterial peptide identification with remarkable accuracy

Wensheng Cai, Haohao Fu, Xuyang Liu, Xueguang Shao et al.
20 citations
Bioinformatics
Antimicrobial Peptides and Activities
6.89
article

PGAT-ABPp: harnessing protein language models and graph attention networks for antibacterial peptide identification with remarkable accuracy

Wensheng Cai, Haohao Fu, Xuyang Liu, Xueguang Shao, Yuelei Hao
article en
20 citations

Abstract

No abstract available for this paper.
BioinformaticsVol. 40(8)
Nankai University (CN), Unité Matériaux et Transformations (FR), State Key Laboratory of Medicinal Chemical Biology
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 3%
Antimicrobial Peptides and Activities
6.89
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