ArticleMethods in molecular biology (Clifton, N.J.)2017
iPTMnet: Integrative Bioinformatics for Studying PTM Networks.
Article in Methods in molecular biology (Clifton, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 32 citations in OpenAlex.
- Emergence of Catalytic Activity in VRK3: Phosphoproteomic Insights into the Regulatory Network of a Former Pseudokinase.Proteomes · 2026Review
- EPSD 2.0: An Updated Database of Protein Phosphorylation Sites Across Eukaryotic Species.Genomics, proteomics & bioinformatics · 2025Article
- Unveiling hidden connections in omics data via pyPARAGON: an integrative hybrid approach for disease network construction.Briefings in bioinformatics · 2024Article
- Article
- Identification of Novel Kinases of Tau Using Fluorescence Complementation Mass Spectrometry (FCMS).Molecular & cellular proteomics : MCP · 2022Article
- Cardiovascular informatics: building a bridge to data harmony.Cardiovascular research · 2022Review
- Protein acetylation: a novel modus of obesity regulation.Journal of molecular medicine (Berlin, Germany) · 2021Review
- Causal interactions from proteomic profiles: Molecular data meet pathway knowledge.Patterns (New York, N.Y.) · 2021Article
- PhosPhAt 4.0: An Updated Arabidopsis Database for Searching Phosphorylation Sites and Kinase-Target Interactions.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Deciphering MET-dependent modulation of global cellular responses to DNA damage by quantitative phosphoproteomics.Molecular oncology · 2020Article
- Differential responses to kinase inhibition in FGFR2-addicted triple negative breast cancer cells: a quantitative phosphoproteomics study.Scientific reports · 2020Article
- RESTful API for iPTMnet: a resource for protein post-translational modification network discovery.Database : the journal of biological databases and curation · 2020Article
- A quaternary tetramer assembly inhibits the deubiquitinating activity of USP25.Nature communications · 2018Article
- Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome: Where There Is a Will, There Is a Way.Circulation research · 2018Review
- Integrative annotation and knowledge discovery of kinase post-translational modifications and cancer-associated mutations through federated protein ontologies and resources.Scientific reports · 2018Article
- iPTMnet: an integrated resource for protein post-translational modification network discovery.Nucleic acids research · 2018Article
- Review
- Scalable Text Mining Assisted Curation of Post-Translationally Modified Proteoforms in the Protein Ontology.CEUR workshop proceedings · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
Protein post-translational modification (PTM) is an essential cellular regulatory mechanism, and disruptions in PTM have been implicated in disease. PTMs are an active area of study in many fields, leading to a wealth of PTM information in the scientific literature. There is a need for user-friendly bioinformatics resources that capture PTM information from the literature and support analyses of PTMs and their functional consequences. This chapter describes the use of iPTMnet ( http://proteininformationresource.org/iPTMnet/ ), a resource that integrates PTM information from text mining, curated databases, and ontologies and provides visualization tools for exploring PTM networks, PTM crosstalk, and PTM conservation across species. We present several PTM-related queries and demonstrate how they can be addressed using iPTMnet.
Indexed as
Identifiers
What OpenQuestion holds
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.