Kinetic modeling of gene expression /

Bibliographic Details
Main Author: Hargrove, James L.
Format: Book
Language:English
Published: Austin, Tex. : R.G. Landes Co., [1994]
Series:Molecular biology intelligence unit.
Subjects:
Table of Contents:
  • Role of computer simulation in molecular biology
  • Model of gene expression based on compartmental analysis
  • Kinetic behavior of a single compartment
  • Assumptions and nomenclature used in modeling systems
  • Transfer rates between compartments are related to half-lives
  • Compartmental models are self-assembling and predict steady state relationships
  • Relationship between simulation and experimentation
  • Resources for computer simulation
  • Time and quantity in gene expression
  • Timing of gene expression
  • Flow of genetic information.
  • Quantifying gene expression
  • Timing of gene expression in bacteria
  • Timing of adaptive gene expression in mammals
  • Physical basis for the time course of gene expression
  • Simplifying concept of fractional change
  • Variety in the time ourse of maximal enzyme induction
  • Modeling gene expression with simulation software
  • Using the idea of approximation
  • Example of the traditional approach
  • Solving a model of gene expression with a simulation program
  • Simulation programs make mathematics accessible to biologists
  • Kinetic modeling of gene expression.
  • Towards a comprehensive model of gene expression
  • Creating a computer program to simulate gene expression
  • Translational control
  • Obtaining data for simulation experiments
  • Modeling transcriptional controls
  • Lags and the idea of relaxation time
  • Law of diminishing returns
  • Interrelationship of messenger RNA and protein metabolism
  • Necessary balance of synthesis and degradation
  • Transcriptional controls are most efficient
  • Rapidly inducible proteins are encoded by labile mRNAs
  • Do exons coordinate mRNA and protein stability.
  • Can the kinetic rule be circumbented
  • Physiological modeling of gene expression
  • Modeling the consequences of gene expression
  • Mechanistic models of bacterial metabolism
  • Sterol-dependent regulation of HMG-CoA reductase gene expression
  • Control of cholesterol synthesis and elimination
  • Oxysterol effects on HMG CoA reductase
  • Results of computer-based simulations
  • Dioxin metabolism, gene expression, and risk assessment.