OlfactionBase

OlfactionBase aggregates curated data on odors, chemicals (odorants and odorless compounds), olfactory receptors (ORs), odorant-binding proteins (OBPs), pheromone binding proteins (PBPs), physicochemical and ADMET annotations, and odorant–OR interactions to support study of odor perception from entry into the nasal cavity to recognition by the brain.

Key Features:

• Curated chemical collection: Contains odorants and odorless compounds annotated with associated odor descriptors.
• Physicochemical annotations: Provides detailed physicochemical property data for listed chemicals.
• ADMET annotations: Includes ADMET characteristic data for chemicals.
• Odorant–OR interaction data: Documents curated interactions between odorants and olfactory receptors for humans and Mus musculus.
• Protein sequence records: Provides sequence information for ORs, OBPs, and PBPs.
• Chemical–odor and chemical–OR correlations: Links chemical features to specific odors and to associated ORs.

Scientific Applications:

• Chemical annotation and odor mapping: Map chemical compounds to odor descriptors and categorize odorants.
• Receptor–ligand analysis: Analyze curated interactions between odorants and ORs in humans and Mus musculus.
• Physicochemical/ADMET correlation: Correlate physicochemical and ADMET properties with odor perception and OR associations.
• Sequence-based investigations: Use OR, OBP, and PBP sequence data for comparative or functional studies.

Methodology:

Curation and integration of datasets covering odors, chemicals (odorants and odorless compounds), ORs, OBPs, and PBPs, annotation of physicochemical properties and ADMET characteristics, and compilation of odorant–OR interaction records and protein sequences.