Receptorsby

Receptorsby is a term used in biology informatics to denote a hypothetical or project-specific schema for organizing receptor proteins by categorical attributes. It is not an established standard in mainstream databases, but the expression is sometimes used to describe data structures or queries that group receptors by ligand binding, signaling pathway, tissue distribution, or cellular localization. In practice, a receptorsby dataset would include entries for receptor identifiers (such as UniProt or gene symbols), receptor family, ligand class, ligand name, tissue_expression, subcellular_location, signaling_pathway, and literature references.

Applications of a receptorsby-style classification include data mining, cross-database queries, and pharmacology mapping. For example, one might query for all GPCRs that bind amine ligands expressed in the brain, or for receptor tyrosine kinases that activate the MAPK pathway in epithelial tissues. Such schemes aim to facilitate integrative analyses across disparate resources.

Data models typically feature fields such as receptor_id, gene_symbol, receptor_family, ligand_class, ligand_name, tissue_expression, subcellular_location, signaling_pathway, and evidence. Data sources may include UniProt, IUPHAR, GCID, and Reactome; integration requires harmonization of nomenclature and identifiers.

Limitations of the concept include that receptorsby is not a standardized schema, so implementations vary. Challenges include data heterogeneity, inconsistent curation, and discrepancies across databases. See also: receptors, ligand-receptor interaction, pharmacology databases, bioinformatics data models.