Data and Code for: Identifying 14-3-3 interactome binding sites with deep learning

This file contains a copy of the data and the code used for the publication titled: Identifying 14-3-3 interactome binding sites with deep learning. The data folder contains dataset splits used for the study and the external evaluation dataset used in the study. Data splits were based on data taken from: 14-3-3-Pred: improved methods to predict 14-3-3-binding phosphopeptides For the up to date version of the code visit: molML/14-3-3-bindsite. The version used for the publication corresponds to commit 1ad18fd.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-25
DOI
https://doi.org/10.5281/zenodo.16420029
Primary Topic
14-3-3 protein interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Data and Code for: Identifying 14-3-3 interactome binding sites with deep learning

Zenodo (CERN European Organization for Nuclear Research)
14-3-3 protein interactions
article

Data and Code for: Identifying 14-3-3 interactome binding sites with deep learning

article en

Abstract

This file contains a copy of the data and the code used for the publication titled: Identifying 14-3-3 interactome binding sites with deep learning. The data folder contains dataset splits used for the study and the external evaluation dataset used in the study. Data splits were based on data taken from: 14-3-3-Pred: improved methods to predict 14-3-3-binding phosphopeptides For the up to date version of the code visit: molML/14-3-3-bindsite. The version used for the publication corresponds to commit 1ad18fd.

Zenodo (CERN European Organization for Nuclear Research)
Eindhoven University of Technology (NL)
Openalex Percentile: Top 60%
14-3-3 protein interactions
DOIOpen Access PDFOpenAlex
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Data and Code for: Identifying 14-3-3 interactome binding sites with deep learning · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS