lecture #14
DESCRIPTION
Lecture #14. Regulatory Enzymes. Outline. Phosphofructokinase-1 Describing the bound states of activators and inhibitors Integration with glycolysis. Phosphofructokinase-1. Metabolic Role. Background. Tetramer 3 Isoforms: M,L,P (muscle, liver, platelet) - PowerPoint PPT PresentationTRANSCRIPT
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Lecture #14
Regulatory Enzymes
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Outline
• Phosphofructokinase-1• Describing the bound states of
activators and inhibitors• Integration with glycolysis
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Phosphofructokinase-1
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Metabolic Role
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Background• Tetramer• 3 Isoforms: M,L,P (muscle, liver, platelet)• 2 Natural Forms: R,T (relaxed, tight)
• Known inhibitors: ATP, citrate, PEP• Known activators: AMP, cAMP, Pi, SO4, FBP• Catalytic Activity:
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PFK sub-network
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The Catalytic Mechanism:binding of the two substrates followed by the
chemical reaction
1)
2)
3)
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AMP and ATP as regulatory ligands
activation
inhibition
conformation
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Stoichiometric Matrix
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Pools and Ratios• PFK – R state
– All forms of R0 + R1 + R2 + R3 + R4
• PFK – T state– All forms of T0 + T1 + T2 + T3 + T4
• PFK – R catalytic state– All forms of Ri,AF
• Ratios
• At steady state ~ rR = 90%, rcat = 12%
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DETERMINING THE STEADY STATE
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Let’s revisit the subnetwork
Equilibrium v = 0
Steady State
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Constraints on the Network
• Total mass balance:
• Total flux:
• Known equilibrium constants
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Solving for the concentrations
Note: When equilibrium constants are plugged in, all forward rate constants in equilibrium reactions fall out, leaving only the catalytic rate constants
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Estimating the catalytic rate constants Chosen Steady State
kPFK
kF6P
kATP
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INTEGRATION WITH GLYCOLYSIS
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Stoichiometric Matrix
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DYNAMIC SIMULATIONS
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Dynamic Simulation
• Two perturbations– Standard 50% increase in ATP utilization– Additional 15% decrease in ATP utilization
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Glycolysis Dynamics
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Glycolysis Dynamics
50% increase in ATP utilization 15% decrease in ATP utilization
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Summary• Enzymes can be explicitly represented in simulation
modules as molecules• Enzymes have many binding states• Binding of regulators (inhibitors and activators) alters
protein activity; leading to a ‘tug of war’ amongst the functional states (i.e. T and R)
• Ratios that represent what fraction of the enzyme is in an active or inhibited functional states can be formed
• Enzyme sub-networks can be seamlessly integrated with the scaffold metabolic network
• Regulator binding to PFK, a key glycolytic regulatory enzyme, was demonstrated