DeepAllo: allosteric site prediction using protein language model (pLM) with multitask learning

The source code is available on GitHub (https://github.com/MoaazK/deepallo) and archived on Zenodo (DOI: 10.5281/zenodo.15255379). The trained model is hosted on Hugging Face (DOI: 10.57967/hf/5198). The dataset used for training and evaluation is archived on Zenodo (DOI: 10.5281/zenodo.15255437).

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Publication Details

Journal
Bioinformatics
Published
2025-05-14
DOI
https://doi.org/10.1093/bioinformatics/btaf294
Citations
11
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
16.55
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article

DeepAllo: allosteric site prediction using protein language model (pLM) with multitask learning

Attila Gürsoy, Özlem Keskin, Moaaz Khokhar
11 citations
Bioinformatics
Computational Drug Discovery Methods
16.55
article

DeepAllo: allosteric site prediction using protein language model (pLM) with multitask learning

Attila Gürsoy, Özlem Keskin, Moaaz Khokhar
article en
11 citations

Abstract

The source code is available on GitHub (https://github.com/MoaazK/deepallo) and archived on Zenodo (DOI: 10.5281/zenodo.15255379). The trained model is hosted on Hugging Face (DOI: 10.57967/hf/5198). The dataset used for training and evaluation is archived on Zenodo (DOI: 10.5281/zenodo.15255437).

BioinformaticsVol. 41(6)
Koç University (TR)
Openalex Percentile: Top 1%
Computational Drug Discovery Methods
16.55
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