SABIO-RK API
SABIO-RK API provides programmatic access to curated kinetic parameters, rate laws, equations, and experimental conditions for biochemical reactions to support systems biology and kinetic modeling.
Key Features:
- Extensive Data Coverage: Contains a broad collection of kinetic parameters related to biochemical reactions across diverse biological sources without organism-specific restrictions.
- Curated and Standardized Data: Entries are manually curated and subjected to automated consistency checks to ensure data accuracy and standardization.
- Detailed Annotations: Each record includes kinetic rate laws, corresponding equations, and experimental conditions.
- Programmatic Access: Provides web service API access and supports complex, customizable search queries for automated data retrieval.
- SBML Export: Supports data export in SBML (Systems Biology Markup Language) for integration with modeling tools.
Scientific Applications:
- Kinetic Studies: Supplies experimentally derived kinetic parameters and rate laws for analysis and comparison of biochemical reaction kinetics.
- Systems Biology Modeling: Provides parameterization data for constructing and refining dynamic biochemical and metabolic models.
- Metabolic Engineering: Enables selection and evaluation of kinetic parameters for design and optimization of metabolic pathways.
- Multi-scale Integration: SBML export facilitates incorporation of kinetic data into multi-scale models and other simulation frameworks.
Methodology:
Automated consistency checks and other automated processes are applied to curated entries to ensure data consistency and accuracy.
Topics
Collections
Details
- Tool Type:
- api
- Operating Systems:
- Linux
- Programming Languages:
- Groovy
- Added:
- 8/3/2015
- Last Updated:
- 11/25/2024
Operations
Publications
Wittig U, Kania R, Golebiewski M, Rey M, Shi L, Jong L, Algaa E, Weidemann A, Sauer-Danzwith H, Mir S, Krebs O, Bittkowski M, Wetsch E, Rojas I, Muller W. SABIO-RK--database for biochemical reaction kinetics. Nucleic Acids Research. 2011;40(D1):D790-D796. doi:10.1093/nar/gkr1046. PMID:22102587. PMCID:PMC3245076.