Hybrid protein–ligand binding residue prediction with protein language models: does the structure matter?

The datasets generated and/or analyzed during the current study, as well as pretrained models, are available in the following Zenodo link https://zenodo.org/records/15184302. The source code that was used to generate the results of the current study is available in the following GitHub repository https://github.com/hamzagamouh/pt-lm-gnn as well as in the following Zenodo link https://zenodo.org/records/15192327.

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Publication Details

Journal
Bioinformatics
Published
2025-07-30
DOI
https://doi.org/10.1093/bioinformatics/btaf431
Citations
8
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
12.03
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article

Hybrid protein–ligand binding residue prediction with protein language models: does the structure matter?

Hamza Gamouh, David Hoksza, Marián Novotný
8 citations
Bioinformatics
Computational Drug Discovery Methods
12.03
article

Hybrid protein–ligand binding residue prediction with protein language models: does the structure matter?

Hamza Gamouh, David Hoksza, Marián Novotný
article en
8 citations

Abstract

The datasets generated and/or analyzed during the current study, as well as pretrained models, are available in the following Zenodo link https://zenodo.org/records/15184302. The source code that was used to generate the results of the current study is available in the following GitHub repository https://github.com/hamzagamouh/pt-lm-gnn as well as in the following Zenodo link https://zenodo.org/records/15192327.

BioinformaticsVol. 41(8)
Charles University (CZ)
Openalex Percentile: Top 1%
Computational Drug Discovery Methods
12.03
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