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.

Documentation

Links