The data stored in SABIO-RK in a comprehensive manner is mainly extracted manually from literature. This includes reactions, their participants (substrates, products), modifiers (inhibitors, activators, cofactors), catalyst details (e.g. EC enzyme classification, protein complex composition, wild type / mutant information), kinetic parameters together with corresponding rate equation, biological sources (organism, tissue, cellular location), environmental conditions (pH, temperature, buffer) and reference details. Data are adapted, normalized and annotated to controlled vocabularies, ontologies and external data sources including KEGG, UniProt, ChEBI, PubChem, NCBI, Reactome, BRENDA, MetaCyc, BioModels, and PubMed.<br/>
As of October 2021 SABIO-RK contains about 71.000 curated single entries extracted from more than 7.300 publications.
<br/>
Several tools, databases and workflows in Systems Biology make use of SABIO-RK biochemical reaction data by integration into their framework including
SYCAMORE,
MeMo-RK,
CellDesigner,
PeroxisomeDB,
Taverna workflows
or tools like KineticsWizard software for data capture and analysis.
Additionally, SABIO-RK is part of MIRIAM registry, a set of guidelines for the annotation and curation of computational models