kinetics intro to synthetic biology, 424 1 copyright © 2008: sauro

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1

Kinetics

Intro to Synthetic Biology, 424

Copyright © 2008: Sauro

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Unit Responses in Biochemical Networks

Linear

Hyperbolic

Sigmoidal

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Where does the nonlinearity come from?

Hyperbolic Sigmoidal

Conservation Laws Bimolecular Binding

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Association or Binding Constant

Ka the equilibrium constant for the binding of one molecule to another.

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Dissociation Constant

Kd the equilibrium constant for dissociation.

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Enzyme Catalysis

The set of reactions shown below is the classic view for enzyme catalysis. Enzyme binds to substrate to form enzyme-substrate complex. Enzyme-substrate complex degrades to free enzyme and product.

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Unfortunately the kinetic constants that describe enzyme catalysis are very difficult to measure and as a result researchers do not tend to use the explicit mechanism, instead they use certain approximations.

The two most popular approximations are:

1. Rapid Equilibrium

2. Steady State

Enzyme Catalysis

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The rapid equilibrium approximation assumes that the binding and unbinding of substrate to enzyme to much faster than the release of product. As a result, one can assume that the binding of substrate to enzyme is in equilibrium.

That is, the following relation is true at all times (Kd = dissociation constant):

Rapid Equilibrium Approximation

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Rapid Equilibrium Approximation

Let Kd be the dissociation constant:

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Rapid Equilibrium Approximation

The equilibrium concentration of ES can be found:

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Rapid Equilibrium Approximation

The rate of reaction is then:

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Fractional Saturation

Rearrange the equation:

Substitute Kd

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Fractional Saturation

Yields:

This shows that the rate is proportional to the fraction of total enzyme that is bound to substrate.

This expression gives us the fractional saturation.

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Brigg-Haldane ApproachSteady State Assumption

Simulation

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Brigg-Haldane ApproachSteady State Assumption

Simulation

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Steady State Assumption

It is possible to relax the constraints that ES should be in equilibrium with E and S by assuming that ES has a relatively steady value over a wide range of substrate concentrations.

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Steady State Assumption

Km

Vmax

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Enzyme Catalysis

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Reversible Enzyme Catalysis

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Haldane Relationships

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Haldane Relationships

Thermodynamic Term Saturation Term

The Haldane relationship puts constraints on the values of the kinetic constants (cf. Principles of Detailed Balance Slide).

The relationship can be used to substitute one of the kinetic parameters, eg the reverse Vmax and replace it with the more easily determined equilibrium constant.

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Parts of a Rate Law

Thermodynamic Term Saturation Term

Sometime people will also emphasize the separation of the rate equation in to two parts, a thermodynamic and a saturation part.

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Product Inhibition without ReversibilityRemoves a further parameter from the equation

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Multisubstrate Kinetics

A B P Q

Ordered Reaction

A

B P Q

Random Order Reaction

A P B Q

Ping-pong Reaction

A

B PQ

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Multisubstrate KineticsGeneralized Rate Laws

Irreversible:

Reversible:

Liebermeister W. and Klipp E. (2006), Bringing metabolic networks to life: convenience rate law and thermodynamic constraints, Theoretical Biology and Medical Modeling 3:41.

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Problems with Steady State Derivations

Although deriving rate laws using the steady state assumptionis more reasonable compared to the rapid equilibrium approach,the algebra involved in deriving the steady state equations canrapidly become wieldy.

Graphical methods such as the King and Altman method havebeen devised to assist is the derivation but the general approachdoes not scale very well.

For many systems, the rapid equilibrium method is the preferredmethod for deriving kinetic rate laws.

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Sigmoidal Responses

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Sigmoid responses are generally seen in multimeric systems.

Phosphofructokinase

Tetramer of identical subunits

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Sigmoid responses arise from cooperative interactions

Binding at one site results in changes in the binding affinitiesat the remaining sites.

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Many proteins are multimericThe Ecocyc database reports 774 multimeric protein complexes out of 4316 proteins.

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Many Proteins are MultimericThe Ecocyc database reports 774 multimeric protein complexes out of 4316 proteins.

Hexokinase

Phosphoglucose Isomerase

Phosphofructokinase

Fructose 1,6-bisphosphate Aldolase

Dimer

DimerTetramer

Tetramer

http://www.rcsb.org/pdb/static.do?p=education_discussion/molecule_of_the_month/pdb50_1.html

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Hill Equation – Simplest Model

Assuming Rapid Equilibrium

We assume that the ligands bind simultaneously (unrealistic!):

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Hill Equation

Hill Coefficient

Some researchers feel that the underlying model is so unrealistic that the Hill equation should be considered an empirical result.

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Hill Coefficient

Hill Coefficient

The Hill Coefficient, n, describes the degree of cooperativity.

If n = 1, the equation revertsto a simple hyperbolic response.

n > 1 : Positive Cooperativityn = 1 : No Cooperativityn < 1 : Negative Cooperativity

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Hill Equation

What is wrong with the Hill equation?

1. The underlying model is unrealistic (assuming this is important)

2. It’s a dead-end, no flexibility, one can’t add additional effectorssuch as inhibitors or activators.

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Alternative Models: Sequential Binding

S S S

S S S

S S S

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Alternative Models: Sequential Binding

S S S

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Alternative Models: Sequential Binding

S S S

Association Constants:

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Alternative Models: Sequential Binding

S S S

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Alternative ModelsSequential Binding

S S S

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Alternative ModelsSequential Binding

S S S

Adair Model

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Alternative ModelsSequential Binding

S S S

K1 = 0.2; K2 = 10

S

f

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Other Models – MWC ModelMWC Model or concerted model (Monod, Wyman, Changeux)

S

SS

S

S S

1. Subunits exist in two conformations, relaxed (R) and taut (T)

2. One conformation has a higher binding affinity than the other (R)

3. Conformations within a multimer are the same

4. Conformations are shifted by binding of ligand

Is disallowed

Relaxed (R) – more active

Taut (T) – less active

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Other Models – MWC ModelMWC Model or concerted model (Monod, Wyman, Changeux)

S S S

Where L =

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Other Models – MWC ModelMWC Model or concerted model (Monod, Wyman, Changeux)

S S S

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Modifiers in Sigmoid Kinetics

Modifiers can be incorporated into the models by assuming that the modifier molecule can bind either exclusively to the relaxed or taut forms.

Thus inhibitors will bind to thetaut form while activators canbind to the relaxed form. Theyeffectively change the L constant.

S

S S

I A

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Modifiers in Sigmoid Kinetics

S

S S

I A

Inhibitors

Activators

S

f

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Gene Expression

TF = Transcription Factor

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Molecular Details - Activation

RNA Poly

RNA Poly

Weak Promoter

TF

Binding of a TF can increase the apparent strength of the Promoter

Gene

Gene

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Molecular Details - Inhibition

RNA Poly

TF binding overlaps RNA polymerase binding site. Prevents RNA polymerase from binding.

RNA Poly Strong Promoter

RNA Poly TF

RNA Poly TF

TF binding downstream of RNA polymerase binding site. Prevents RNA polymerase from moving down DNA strand.

TF binding causes looping of the DNA, preventing RNA polymerase from moving down DNA strand.

TF

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The Central Equation – Fractional Saturation

A state refers to the state of the operator site, eg is it free or bound to a TF.

G

AG

G

GA

Gene

Gene

G = Operator Site

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Single TF Binds and Activates Expression

A

GA

Equilibrium Condition

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Single TF Binds and Activates Expression

A

GA

Fractional Saturation

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Single TF Binds and Activates Expression

A

GA

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Single TF Binds and Activates Expression

A

GA

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Probability Interpretation

A

GA

Inside a cell there are of course only a few operator binding sites. Therefore we should strictly interpret the fractional saturation as a probability that a TF will be bound to the operator site. The rate of gene expression is then proportional to the probability of the TF being bound.

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Single TF Binds and Inhibits Expression

A

GA

The active state is when the TF is not bound.

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Single TF Binds and Inhibits Expression

A

GA

The active state is when the TF is not bound.

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Single TF Binds and Inhibits Expression

A

GA

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Summary

Activation

Repression

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Single TF Binds, Activates with Cooperativity

1)

G

G

G2)

3)

G

TG

TG2

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Single TF Binds, Activates with Cooperativity

G

TG

TG2

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Single TF Binds, Activates with Cooperativity

G

TG

TG2

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Single TF Binds, Inhibits with Cooperativity

T

v/Vmax

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Repression with n binding sites:

T

f n = 4

NOT GateP

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In the literature you’ll often find then following variants:

Activation

Repression

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Two Activating TFs Compete for the Same Site

A

GA

B

GB

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Two TFs Compete for the Same Site

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Two Activating TFs Compete for the Same Site

OR Gate

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Two Activating TFs Bind to two different sites

A

A

B

BG

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Two Activating TFs Bind to two different sites..…but there is a slight complication

G

GA

GB

GAB

Two different ways to make GAB

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Two Activating TFs Bind to two different sites

You only need to use one ofThese relations.

But which one?

Or does it matter?

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Two Activating TFs Bind to two different sites

G

GA

GB

GAB

The principle of detailed balance means that the energy change along each path must be the same since the end points(G and GAB) are the same. The overall equilibrium constants forthe upper and lower routes must therefore be equal.

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Two Activating TFs Bind to two different sites

G

GA

GB

GAB

Using:

Using:

This is: the equations are identical

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Comparing the two:

OR Gates

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AND Gates: Active only when both are bound

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NOR Gates: Active when neither are bound

G

GA

A

GB

B

GB

B A

A

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XOR GateG

GA

A

GB

B

GB

B A

A

Input A Input B Output

1 1 0

1 0 1

0 1 1

0 0 0

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Other Configurations

PAB

AG

BG

When A binds it activates. If B is bound, then A is unable to bind. B therefore acts as an inhibitor of A.

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