A web portal for exploring kinase-substrate interactions

Interactions between protein kinases and their substrates are critical for the modulation of complex signaling pathways. Currently, there is a large amount of information available about kinases and their substrates in disparate public databases. However, these data are difficult to interpret in the context of cellular systems, which can be facilitated by examining interactions among multiple proteins at once, such as the network of interactions that constitute a signaling pathway. We present KiNet, a user-friendly web portal that integrates and shares information about kinase-substrate interactions from multiple databases of post-translational modifications. KiNet enables the visual exploration of these interactions in systems contexts, such as pathways, domain families, and custom protein set inputs, in an interactive fashion. We expect KiNet to be useful as a knowledge discovery tool for kinase-substrate interactions, and the aggregated KiNet dataset to be useful for protein kinase studies and systems-level analyses. The portal is available at https://kinet.kinametrix.com/ .

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Publication Details

Journal
npj Systems Biology and Applications
Published
2024-10-03
DOI
https://doi.org/10.1038/s41540-024-00442-5
Citations
4
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.94

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article

A web portal for exploring kinase-substrate interactions

Gaurav Pandey, John A. P. Sekar, Avner Schlessinger, Yan Chak Li
4 citations
npj Systems Biology and Applications
Bioinformatics and Genomic Networks
0.94
article

A web portal for exploring kinase-substrate interactions

Gaurav Pandey, John A. P. Sekar, Avner Schlessinger, Yan Chak Li
article en
4 citations

Abstract

Interactions between protein kinases and their substrates are critical for the modulation of complex signaling pathways. Currently, there is a large amount of information available about kinases and their substrates in disparate public databases. However, these data are difficult to interpret in the context of cellular systems, which can be facilitated by examining interactions among multiple proteins at once, such as the network of interactions that constitute a signaling pathway. We present KiNet, a user-friendly web portal that integrates and shares information about kinase-substrate interactions from multiple databases of post-translational modifications. KiNet enables the visual exploration of these interactions in systems contexts, such as pathways, domain families, and custom protein set inputs, in an interactive fashion. We expect KiNet to be useful as a knowledge discovery tool for kinase-substrate interactions, and the aggregated KiNet dataset to be useful for protein kinase studies and systems-level analyses. The portal is available at https://kinet.kinametrix.com/ .

npj Systems Biology and ApplicationsVol. 10(1)
Icahn School of Medicine at Mount Sinai (US)
National Institutes of Health
Openalex Percentile: Top 25%
Bioinformatics and Genomic Networks
0.94
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