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Quantitative Modeling of Metabolic Networks

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Title: Quantitative Modeling of Metabolic Networks


1
Quantitative Modeling of Metabolic Networks
Sai Jagan Mohan, Ph.D. Sonali Das, Ph.D. Anupama
Bhat.
2
Overview
  • Problem definition and approach
  • Modules
  • The glutathione module
  • The bioenergetics module
  • Complementary modeling approaches
  • Constraint based modeling
  • Metabolic control analysis (MCA)
  • Summary

3
Hepatotoxicity prediction is hard
Metabolism
Hepatotoxicity intricate and dynamic
'system-level' interactions.
4
Our Approach
A comprehensive model of homeostasis metabolism
in a liver cell Toxicity
Drug-induced perturbations
  • Hepatotoxicity Mechanisms
  • Cell Death of Functional Liver Cells
  • Impaired Bile Flow
  • Faulty Fat Processing

5
Cytotoxicity Modules
  • The glutathione metabolism module
  • The bioenergetics module
  • Characteristics
  • Non-linear ODEs
  • Two compartments
  • Fluxes Enzyme Kinetics/Mass Action

6
Enzymes gt Non-linearity
VGCS VmaxATPGluCys/?KmATPKmGlu(1GSH/
KiGSH)KmCys 1Glu/KmGlu(1GSH/KiGSH)
Glu Cys/ KmGlu (1GSH/KiGlu)KmCysGluATP
/KmATPKmGlu(1GSH/KiGSH) GluCysATP/?KmAT
PKmGlu(1GSH/KiGSH) KmCys
7
Perturbations
Vmax ? EnzymeT
8
The Oxidative Stress Module
9
The Glutathione Module
d ?-GC /dt VGCS VGS d GSH /dt VGS
VGR VGPx Vgsh2ss Vgsh2ca VGST VgshC2M
VgshM2C
10
Validation
Drug Ethacrynic Acid (EA)
Experimental
2
3
1
11
Asymptotic Analysis
Simulation Vgcs 0
Validation
Toxin Buthionine
Sulfoximine (BSO) Target
?-GlutamylCysteine Synthetase
(GCS) Depletes glutathione with a half life of
2 hours
12
Thought simulation
13
Metabolic Network for Cellular Energetics
21 state variables 17 differential equations 4
conservation laws
14
Conservation Laws
Adenylate kinase (ADK) reaction is rapid
(operates near equilibrium)
ATPAMP
constant
Keq


ADPADP
Total adenine pool in the cytosol ATPe
ADPeAMPe constant
(Ataullakhanov Vitvitsky Bioscience Reports.
2002 22501-511)
15
Constraint Based Modeling
16
Metabolic Control Analysis (MCA)
17
Future Work
  • MCA for insights into control and regulation
  • Parameter estimation
  • Experimental validation
  • Scaling laws for metabolic networks

18
The Linear Approximation
19
The Linear Approximation
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