RedoxMech
RedoxMech encodes oxidoreductase enzyme state transitions using a unifying framework of seven elementary reactions to generate micro-models and derive macroscopic steady-state kinetic equations for kinetic analysis and parameter inference.
Key Features:
- Unifying Modeling Framework: Represents enzyme behavior with seven elementary reactions forming 69 pairs of enzyme state transitions to encode specific intra-enzyme reaction networks (micro-models) and produce macroscopic steady-state kinetic equations (macro-models) via thermodynamic assumptions.
- Synergistic Kinetic Bridge: Integrates micro-model and macro-model kinetics to enable extraction of unitary rate constants, simulation of reaction variance, and validation of micro-models against empirical steady-state data.
- Automation in Mathematica: Implements automated generation and customization of micro-models and EC 1 models as an extension of the xCellerator reaction modeling software within Mathematica.
- Empirical Validation and Customization: Enables model adaptation and parameter adjustment based on specific kinetic properties to support empirical validation across different functional roles and environmental conditions.
Scientific Applications:
- Bioenergetic research: Modeling oxidoreductase kinetics for studies of energy transduction and bioenergetic processes.
- Prebiotic enzyme mechanisms: Investigating enzyme mechanisms and reaction networks relevant to ancient prebiotic environments.
- Protein evolution and specialization: Exploring how oxidoreductases could evolve into diverse protein structures with specialized functions.
- Metabolic pathway analysis: Simulating and validating reaction networks and steady-state behavior within metabolic pathways.
- Parameter inference: Inferring unitary rate constants and kinetic parameters from steady-state experimental data.
Methodology:
Encodes enzyme state transitions from seven elementary reactions into 69 transition pairs to construct micro-models, derives macroscopic steady-state kinetic equations under thermodynamic assumptions, and automates micro-model generation and customization using xCellerator within Mathematica.
Topics
Details
- Tool Type:
- library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Mathematica
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Chang I, Baldi P. A unifying kinetic framework for modeling oxidoreductase-catalyzed reactions. Bioinformatics. 2013;29(10):1299-1307. doi:10.1093/bioinformatics/btt140. PMID:23613486. PMCID:PMC3732027.