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Lecture #14 Regulatory Enzymes

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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 Presentation

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Page 1: Lecture #14

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