Proteomics Standards Initiative (PSI) Protein Modifications Ontology (PSI-MOD) ======================================================================================================================== Overview -------- PSI-MOD is an ontology consisting of terms that describe protein chemical modifications, logically linked by an is_a relationship in such a way as to form a direct acyclic graph (DAG). The PSI-MOD ontology has more than 45 top-level nodes, and provides alternative hierarchical paths for classifying protein modifications either by the molecular structure of the modification, or by the amino acid residue that is modified. :Domain: Chemistry :Category: Protein Modifications :Current Version: 1.031.6 :Last Updated: 2022-06-13 :Creator: None :License: Creative Commons Attribution 4.0 :Format: OWL :Download: `Proteomics Standards Initiative (PSI) Protein Modifications Ontology (PSI-MOD) Homepage `_ Graph Metrics ------------- - **Total Nodes**: 28523 - **Total Edges**: 86380 - **Root Nodes**: 9338 - **Leaf Nodes**: 16902 Knowledge coverage ------------------ - Classes: 2098 - Individuals: 0 - Properties: 4 Hierarchical metrics -------------------- - **Maximum Depth**: 4 - **Minimum Depth**: 0 - **Average Depth**: 0.95 - **Depth Variance**: 0.60 Breadth metrics ------------------ - **Maximum Breadth**: 11284 - **Minimum Breadth**: 4 - **Average Breadth**: 5684.00 - **Breadth Variance**: 22690827.20 Dataset Statistics ------------------ Generated Benchmarks: - **Term Types**: 0 - **Taxonomic Relations**: 8347 - **Non-taxonomic Relations**: 0 - **Average Terms per Type**: 0.00 Usage Example ------------- .. code-block:: python from ontolearner.ontology import PSIMOD # Initialize and load ontology ontology = PSIMOD() ontology.load("path/to/ontology.owl") # Extract datasets data = ontology.extract() # Access specific relations term_types = data.term_typings taxonomic_relations = data.type_taxonomies non_taxonomic_relations = data.type_non_taxonomic_relations