ArticleMolecular & cellular proteomics : MCP2015
Systematic characterization and prediction of post-translational modification cross-talk.
Article in Molecular & cellular proteomics : MCP, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The trial behind it
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Who cites it
11 citing papers in PubMed, 39 citations in OpenAlex.
- Phosphoproteomic and Acetylomic Characterization of Colorectal Cancer Cells Treated with Kinase Inhibitors.ACS pharmacology & translational science · 2025Article
- SETDB1 activity is globally directed by H3K14 acetylation via its Triple Tudor Domain.Nucleic acids research · 2024Article
- Improved prediction of post-translational modification crosstalk within proteins using DeepPCT.Bioinformatics (Oxford, England) · 2024Article
- Rapid flow-based synthesis of post-translationally modified peptides and proteins: a case study on MYC's transactivation domain.Chemical science · 2024Article
- qPTM: an updated database for PTM dynamics in human, mouse, rat and yeast.Nucleic acids research · 2023Article
- Dissecting Structure-Encoded Determinants of Allosteric Cross-Talk between Post-Translational Modification Sites in the Hsp90 Chaperones.Scientific reports · 2018Article
- Review
- Co-occurring protein phosphorylation are functionally associated.PLoS computational biology · 2017Article
- Prediction of post-translational modification sites using multiple kernel support vector machine.PeerJ · 2017Article
- Protein post-translational modifications:Computational and structural biotechnology journal · 2017Review
- Systematic Analysis and Prediction of In Situ Cross Talk of O-GlcNAcylation and Phosphorylation.BioMed research international · 2015Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 4 countries.
Funding
Abstract
Post-translational modification (PTM)(1) plays an important role in regulating the functions of proteins. PTMs of multiple residues on one protein may work together to determine a functional outcome, which is known as PTM cross-talk. Identification of PTM cross-talks is an emerging theme in proteomics and has elicited great interest, but their properties remain to be systematically characterized. To this end, we collected 193 PTM cross-talk pairs in 77 human proteins from the literature and then tested location preference and co-evolution at the residue and modification levels. We found that cross-talk events preferentially occurred among nearby PTM sites, especially in disordered protein regions, and cross-talk pairs tended to co-evolve. Given the properties of PTM cross-talk pairs, a naïve Bayes classifier integrating different features was built to predict cross-talks for pairwise combination of PTM sites. By using a 10-fold cross-validation, the integrated prediction model showed an area under the receiver operating characteristic (ROC) curve of 0.833, superior to using any individual feature alone. The prediction performance was also demonstrated to be robust to the biases in the collected PTM cross-talk pairs. The integrated approach has the potential for large-scale prioritization of PTM cross-talk candidates for functional validation and was implemented as a web server available at http://bioinfo.bjmu.edu.cn/ptm-x/.
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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.