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iPTMnet specifications


Unique identifier OMICS_18530
Name iPTMnet
Restrictions to use None
Community driven No
Data access Browse
User data submission Not allowed
Maintained Yes


  • person_outline Karen Ross

Publication for iPTMnet

iPTMnet citations


Integrative annotation and knowledge discovery of kinase post translational modifications and cancer associated mutations through federated protein ontologies and resources

Sci Rep
PMCID: 5916945
PMID: 29695735
DOI: 10.1038/s41598-018-24457-1

[…] ehensive protein resource, UniProt, there are resources that specialize in specific species such as neXtProt for human and the Mouse Genome Informatics (MGI) for mouse. The Protein Ontology (PRO) and iPTMnet capture specific data types on proteoforms and post-translational modifications (PTMs), respectively, across multiple species. The Catalog of Somatic Mutations in Cancer (COSMIC) captures info […]


iPTMnet: an integrated resource for protein post translational modification network discovery

Nucleic Acids Res
PMCID: 5753337
PMID: 29145615
DOI: 10.1093/nar/gkx1104
call_split See protocol

[…] PRO constitutes a crucial part of the iPTMnet dataset as it places the PTM site information in the context of proteoforms, i.e. it shows the combination of PTMs that have been observed in a given protein. This feature of representing expe […]


Bioinformatics Knowledge Map for Analysis of Beta Catenin Function in Cancer

PLoS One
PMCID: 4624812
PMID: 26509276
DOI: 10.1371/journal.pone.0141773

[…] ed to results of prediction tools), along with clear links to supporting evidence, preferably to articles in the scientific literature. For phosphorylation information, we used our recently developed iPTMnet database (http://proteininformationresource.org/iPTMnet/), which provides a unified presentation of PTM information text-mined from the scientific literature and from multiple high-quality cur […]

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iPTMnet institution(s)
Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, USA; Department of Computer & Information Sciences, University of Delaware, Newark, DE, USA; Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, USA
iPTMnet funding source(s)
Supported by National Institutes of Health (NIH) [U01GM120953, R01GM080646, P20GM103446].

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