Overview
Enzyme databases are specialized resources that collate detailed information about enzyme-catalyzed reactions. They serve as reference works for enzymologists, metabolic engineers, and pharmacologists by providing organized access to data on substrates, products, kinetic parameters, inhibitors, cofactors, and physiological function. The two most comprehensive resources are BRENDA (BRaunschweig ENzyme DAtabase) and ExplorEnz (the IUBMB enzyme nomenclature database). Both are tightly linked to the Enzyme Commission (EC) classification system.
Key Concepts
BRENDA is themost comprehensive enzyme information system, containing manually extracted data from primary literature. It covers kinetic parameters (Km, kcat, Vmax), substrate specificity, inhibitor constants (Ki), optimum pH and temperature, organism sources, and tissue distribution. Data entries include literature citations and are searchable by EC number, enzyme name, organism, or ligand. ExplorEnz focuses on enzyme nomenclature and classification — it is the official repository of the IUBMB Enzyme List, providing the accepted name, reaction equation, and comments for each EC class.
Applications
Enzyme databases support both research and applied biotechnology. Metabolic reconstructions rely on BRENDA to assign kinetic parameters for enzyme classification and nomenclature and flux balance modeling. Enzyme kinetics studies use BRENDA to benchmark measured parameters against literature values. Drug discovery programs exploit BRENDA’s inhibitor data when designing selective enzyme inhibition strategies. Understanding enzyme mechanisms of catalysis is enriched by the structural and mechanistic annotations these databases provide.
