iPTMnet

Description: iPTMnet is a bioinformatics resource for integrated understanding of protein post-translational modifications (PTMs) in systems biology context. It connects multiple disparate bioinformatics tools and systems text mining, data mining, analysis and visualization tools, and databases and ontologies into an integrated cross-cutting research resource to address the knowledge gaps in exploring and discovering PTM networks.

Cross-references: https://github.com/NCATSTranslator/Translator-All/wiki/iPTMnet

Edge Categories Distribution

Epistemic Robustness

Epistemic Robustness measures the provenance quality of edges from this knowledge source, using Knowledge Level and Agent Type from the Biolink Model to assess evidence strength and reliability. Higher scores indicate stronger evidence and greater manual curation.

-0.15
Average Epistemic Score

0.00
Knowledge Level Score
Most common: Not Provided

-0.30
Agent Type Score
Most common: Text-Mining Agent

812
Edges Included

0
Edges with Missing Provenance
(Both Knowledge Level and Agent Type not provided)

Edge Type Validation

This section shows the validation of edge types in this knowledge source against the recognized biolink schema patterns.

0
Recognized Edges
(0.0%)

812
Unrecognized Edges
( 100.0 %)

ABox / TBox Classification

The TBox-to-ABox balance reflects how much a knowledge graph emphasizes abstract schema versus concrete instances—too much of either can hinder effective learning and reasoning.

812
ABox Edges
( 100.0 %)

0
TBox Edges
( 0.0 %)

0
Undefined
( 0.0 %)