ArticleNature methods2015
MIMP: predicting the impact of mutations on kinase-substrate phosphorylation.
Article in Nature methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed, 91 citations in OpenAlex.
- DARKIN: a zero-shot benchmark for phosphosite-dark kinase association using protein language models.Bioinformatics (Oxford, England) · 2025Article
- DeepMVP: deep learning models trained on high-quality data accurately predict PTM sites and variant-induced alterations.Nature methods · 2025Article
- Comprehensive evaluation of phosphoproteomic-based kinase activity inference.Nature communications · 2025Article
- The prospect of substrate-based kinase inhibitors to improve target selectivity and overcome drug resistance.Chemical science · 2024Review
- A Review of Machine Learning and Algorithmic Methods for Protein Phosphorylation Site Prediction.Genomics, proteomics & bioinformatics · 2023Review
- VIPpred: a novel model for predicting variant impact on phosphorylation events driving carcinogenesis.Briefings in bioinformatics · 2023Article
- plotnineSeqSuite: a Python package for visualizing sequence data using ggplot2 style.BMC genomics · 2023Article
- RMDisease V2.0: an updated database of genetic variants that affect RNA modifications with disease and trait implication.Nucleic acids research · 2023Article
- A Novel De NovoGenes · 2022Article
- A positive feedback loop mediates crosstalk between calcium, cyclic nucleotide and lipid signalling in calcium-induced Toxoplasma gondii egress.PLoS pathogens · 2022Article
- Accurate, high-coverage assignment of in vivo protein kinases to phosphosites from in vitro phosphoproteomic specificity data.PLoS computational biology · 2022Article
- Human phospho-signaling networks of SARS-CoV-2 infection are rewired by population genetic variants.Molecular systems biology · 2022Article
- PhosVarDeep: deep-learning based prediction of phospho-variants using sequence information.PeerJ · 2022Article
- A global map of associations between types of protein posttranslational modifications and human genetic diseases.iScience · 2021Article
- ExploringMicrobial cell (Graz, Austria) · 2021Review
- RMDisease: a database of genetic variants that affect RNA modifications, with implications for epitranscriptome pathogenesis.Nucleic acids research · 2021Article
- ActiveDriverDB: Interpreting Genetic Variation in Human and Cancer Genomes Using Post-translational Modification Sites and Signaling Networks (2021 Update).Frontiers in cell and developmental biology · 2021Article
- Insulin-induced serine 22 phosphorylation of retinoid X receptor alpha is dispensable for adipogenesis in brown adipocytes.Adipocyte · 2020Article
- PhosphoEffect: Prioritizing Variants On or Adjacent to Phosphorylation Sites through Their Effect on Kinase Recognition Motifs.iScience · 2020Article
- KSP: an integrated method for predicting catalyzing kinases of phosphorylation sites in proteins.BMC genomics · 2020Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Protein phosphorylation is important in cellular pathways and altered in disease. We developed MIMP (http://mimp.baderlab.org/), a machine learning method to predict the impact of missense single-nucleotide variants (SNVs) on kinase-substrate interactions. MIMP analyzes kinase sequence specificities and predicts whether SNVs disrupt existing phosphorylation sites or create new sites. This helps discover mutations that modify protein function by altering kinase networks and provides insight into disease biology and therapy development.
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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 OpenQuestion graph.