BRENDA Tissue Ontology (BTO)

The BRENDA Tissue Ontology (BTO) is a structured controlled vocabulary for systematically describing and classifying the tissues, cell lines, cell types, and cell cultures that serve as sources for enzymatic and biochemical studies. Developed as part of the BRENDA (BRaunschweig ENzyme DAtabase) project, BTO provides standardized terminology for identifying experimental sample origins and biological sources in biochemistry and molecular biology research. The ontology includes comprehensive hierarchical classifications of human tissues, animal tissues, plant tissues, and microbial cell types, enabling precise semantic annotation of biological materials used in enzyme research and biotechnology. BTO supports data integration across biochemical databases and enables accurate searches for enzymes studied in specific tissue contexts.

Example Usage: Annotate an enzyme assay result with a BTO term like “BTO:0000079” (liver) or “BTO:0000142” (kidney) to indicate the tissue source of the enzyme sample.

Metrics & Statistics

Graph Statistics

Total Nodes

37130

Total Edges

86188

Root Nodes

5619

Leaf Nodes

21886
Knowledge Coverage Statistics

Classes

6569

Individuals

0

Properties

10
Hierarchical Metrics

Maximum Depth

7

Minimum Depth

0

Average Depth

1.37

Depth Variance

0.68
Breadth Metrics

Maximum Breadth

16002

Minimum Breadth

9

Average Breadth

4411.62

Breadth Variance

36150459.73
LLMs4OL Dataset Statistics

Term Types

0

Taxonomic Relations

5888

Non-taxonomic Relations

0

Average Terms per Type

0.00

Usage Example

Use the following code to import this ontology programmatically:

from ontolearner.ontology import BTO

ontology = BTO()
ontology.load("path/to/BTO-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