iptmnet

is a Data Source.

iPTMnet is an integrated resource for protein post-translational modification (PTM) network discovery that employs an integrative bioinformatics approach combining text mining, data mining, and ontological representation to capture rich PTM information, including PTM enzyme-substrate-site relationships, PTM-specific protein-protein interactions (PPIs), and PTM conservation across species.

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proteomics

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iPTMnet

Description

iPTMnet is an integrated resource for protein post-translational modification (PTM) network discovery that employs an integrative bioinformatics approach combining text mining, data mining, and ontological representation to capture rich PTM information, including PTM enzyme-substrate-site relationships, PTM-specific protein-protein interactions (PPIs), and PTM conservation across species.

Coverage

As of Release 4.1 (August 2017), iPTMnet contains:

  • 654,500+ unique PTM sites in over 62,100 modified proteins
  • 1,200 PTM enzymes
  • 12,700 distinct enzyme-substrate pairs
  • 24,300 distinct enzyme-substrate-site combinations
  • 1,470 PTM-dependent protein-protein interactions
  • 30,500 publications describing PTM and/or PPI relations

PTM Types Covered

Eight major PTM types:

  1. Phosphorylation (primary)
  2. Ubiquitination
  3. Acetylation
  4. Methylation
  5. Glycosylation
  6. S-nitrosylation
  7. Sumoylation
  8. Myristoylation

Organisms

Top organisms represented:

  • Human
  • Mouse
  • Rat
  • Arabidopsis thaliana
  • Saccharomyces cerevisiae
  • Schizosaccharomyces pombe

Data Sources

Text Mining Systems

  • RLIMS-P: Rule-based information extraction system for literature mining of protein phosphorylation information from PubMed abstracts and full-length articles
  • eFIP: Full-scale mining of PubMed Central Open Access articles for phosphorylation information

Curated Databases (11 sources integrated)

  1. PhosphoSitePlus (PSP): Phosphorylation, ubiquitination, acetylation, methylation (human, rat, mouse)
  2. Phospho.ELM: Phosphorylation sites in animal proteins
  3. PhosPhAt: Mass spectrometry phosphorylation sites in Arabidopsis thaliana
  4. PhosphoGrid: In vivo phosphorylation sites in Saccharomyces cerevisiae
  5. PomBase: Fission yeast (Schizosaccharomyces pombe) comprehensive database
  6. UniProtKB: Comprehensive protein database with expert-annotated PTM features
  7. P3DB: Plant protein phosphorylation data
  8. neXtProt: Human protein knowledgebase with kinase focus
  9. HPRD: Human protein PTMs and enzyme-substrate relationships
  10. Signor: Causal relationships between biological entities including PTM-enzyme substrate relations
  11. dbSNO: Experimentally verified cysteine S-nitrosylation sites

Ontological Framework

  • Protein Ontology (PRO): Organizes proteins and PTM proteoforms with hierarchical representation (family→gene→sequence→modification) enabling representation of experimentally validated PTM combinations

Key Features

Unique Capabilities

  1. Proteoform Representation: Shows experimentally validated combinations of PTMs on proteins (unique feature)
  2. PTM Conservation Analysis: Alignment of orthologous proteoforms across species enabling PTM site and proteoform prediction
  3. Confidence Scoring: Quality scores (0-4 stars) for PTM information based on source quality, multiple source support, and publication evidence
  4. Network Visualization: Cytoscape-based PTM sites and proteoforms as nodes with enzyme-site and PPI relationships as edges
  5. Integrated Text Mining: Up-to-date PTM information from automated monthly processing of all PubMed abstracts and PMC Open Access full-text articles

Search & Browse Functionality

  • Search by UniProtKB AC/ID, protein/gene name, PRO ID, PMID
  • Restrict by PTM type, enzyme/substrate role, organism
  • Batch Retrieval: Process up to 500 PTM sites at once to obtain PTM enzyme or PTM-dependent PPI information
  • Literature Search: Dual search modes (protein database search + phosphorylation literature search)
  • Interactive Entry Reports with multiple data tables (substrate, PTM enzyme, proteoform, PPI)

Visualization Tools

  1. Cytoscape Network View: Interactive network visualization of PTM enzyme-substrate-site, proteoform-site, and PPI relationships
  2. Sequence Alignment Viewer: Multiple sequence alignment (MUSCLE algorithm) showing PTM conservation across species with color-coded modifications
  3. Overlapping PTMs: Highlights residues with multiple modification types (potential PTM cross-talk sites)

RESTful API

  • Programmatic access to iPTMnet data
  • Documented in Methods Mol Biol (2022) and Database (Oxford) (2020)
  • Enables automated integration with external analysis workflows

Quality Control

  • Monthly updates of text mining results
  • Integrity checks on kinase information (verification against UniProtKB ‘kinase’ keyword)
  • PTM type validation (conformance to known residue types)
  • PTM site sequence validation (residue at expected position in UniProtKB sequence)
  • Monitoring for retracted articles with correction/removal of affected data

Applications

  • Functional interpretation of phosphoproteomic data
  • Kinase signaling pathway analysis (e.g., connecting phosphosites from mass spec experiments to kinase pathways)
  • PTM-dependent PPI discovery
  • Cross-species PTM conservation studies
  • Drug target identification (e.g., EGFR inhibitor erlotinib response analysis)
  • Hypothesis generation for PTM cross-talk and proteoform biology

Maintenance & Support

  • Maintained by Protein Information Resource (PIR)
  • University of Delaware: 15 Innovation Way, Suite 205, Newark, DE 19711
  • Georgetown University Medical Center: 3300 Whitehaven Street, NW, Suite 1200, Washington, DC 20007
  • Funding: NSF grant ABI-1062520, NIH/NIGMS grant U01GM120953
  • Website traffic: >6 million hits from >16,000 unique IPs (first half of 2017)

Technical Implementation

  • Database: Oracle 12c release 1, dimensional model design
  • Front-end: Django (Python Web Framework)
  • Visualization: Cytoscape.js (version 2.4.2 graph theory library)
  • Sequence Alignment: MUSCLE algorithm
  • Text Mining: PubTator for NCBI gene ID mapping
  • ID Mapping: UniProt Protein ID and gene name mapping tools

Access & Documentation

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Created: November 13, 2025 | Last modified: November 13, 2025