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Molecular Process Ontology (MOP)
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Overview
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MOP is the molecular process ontology. It contains the molecular processes that underlie
the name reaction ontology RXNO, for example cyclization, methylation and demethylation.
:Domain: Chemistry
:Category: Chemistry, Molecular Biology
:Current Version: 2022-05-11
:Last Updated: 2022-05-11
:Creator: None
:License: Creative Commons 4.0
:Format: OWL
:Download: `Molecular Process Ontology (MOP) Homepage <https://terminology.tib.eu/ts/ontologies/MOP>`_
Graph Metrics
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- **Total Nodes**: 15794
- **Total Edges**: 41157
- **Root Nodes**: 3693
- **Leaf Nodes**: 8182
Knowledge coverage
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- Classes: 3717
- Individuals: 0
- Properties: 11
Hierarchical metrics
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- **Maximum Depth**: 6
- **Minimum Depth**: 0
- **Average Depth**: 1.09
- **Depth Variance**: 0.63
Breadth metrics
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- **Maximum Breadth**: 7300
- **Minimum Breadth**: 3
- **Average Breadth**: 2253.14
- **Breadth Variance**: 7474153.55
Dataset Statistics
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Generated Benchmarks:
- **Term Types**: 0
- **Taxonomic Relations**: 4171
- **Non-taxonomic Relations**: 47
- **Average Terms per Type**: 0.00
Usage Example
-------------
.. code-block:: python
from ontolearner.ontology import MOP
# Initialize and load ontology
ontology = MOP()
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
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