ArticleNPJ systems biology and applications2024
A web portal for exploring kinase-substrate interactions.
Article in NPJ systems biology and applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- A multi-omics approach reveals specific oncogenic and inflammatory potential of viral oncoproteins Tax from neglected HTLV-1b and -1c genotypes.PLoS pathogens · 2026Article
- Mapping the dynamic plant interactome: from in vitro assays to in vivo quantitative approaches.Plant methods · 2026Review
- Instance and Feature Selection: Algorithmic Identification of Unique Kinase Protein Interactions from the Protein Data Bank (PDB) and Their Features.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Phosphorylation of Shiftless by casein kinase 1 δ/ε is required for its antiviral activity.Journal of virology · 2025Article
- Computational Approaches for Pathway-Centric Analysis of Protein Post-Translational Modifications.Proteomics · 2025Review
Corrections and comments
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Authors and funding
4 authors.
Funding
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/ .
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.