lecture #10 metabolic pathways. outline glycolysis; a central metabolic pathway fundamental...

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Lecture #10 Metabolic Pathways

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Lecture #10

Metabolic Pathways

Outline

• Glycolysis; a central metabolic pathway• Fundamental structure (m x n = 20 x 21)

• Co-factor coupling (NAD, ATP, Pi)

• The stoichiometric matrix– Its null spaces

• Setting up a simulation model– Steady state

• Interpreting the results from simulation– Concentrations, fluxes, pools, ratios

GLYCOLYSIS: AN OPEN SYSTEM

Glycolysis as an Open System

Compounds: the nodes

pathwayintermediates

cofactorscarriers

Reactions: the links

THE STEADY STATE

The Stoichiometric Matrix

mxn=20x21, Rank(S)=18 dim(Null)=21-18=3dim(Left Null)=20-18=2

3 pathways2 conserved moieties

Glycolysis: ‘annotated’ S matrix

ES=0

Glycolysis: Pathways in Null(S)Selected basis based on biochemical intuition

~P synthesis redox coupling inventory of AMP

The Steady State Fluxes (mM/hr):fluxes have to balance the network

upperglycolysis

lowerglycolysis

exchange & demandfluxes

AMP

The Steady State Concentrations (mM);determined by flux map and kinetic constants

Reactions: the links

pseudo el

emen

tary

rate

consta

nts

distance

from

equili

brium

DYNAMIC SIMULATIONModel defined and ready for:

Simulation: 50% increase in kATP:dynamic responses of the concentrations

ADP ATP

load=k[ATP]

50% increase at t=0

Key Concepts1. Time constants2. Pools3. Transitions

Glycolysis: 0-10 mins

Tiled Phase Portrait:fluxes

fluxes of

interest

Glycolysis: 10-infinity

mins

Tiled Phase Portrait:fluxes

fluxes of

interest

drai

nac

cum

ulat

ion

Dymamic Responses of the Fluxes

drainaccumulation

Secr

etio

n>

sts

tSe

cret

ion

<st

st

Secr

etio

n>

sts

tSe

cret

ion

<st

st

Glycolysis: 0-10 mins

Tiled Phase Portrait:concentrations

Glycolysis: 10-infinity

mins

Tiled Phase Portrait:concentrations

Simulation: 50% increase in kATP:dynamic responses of the concentrations

fast intermediate slow

ADP ATP

load=k[ATP]

50% et=0Key Concepts1.Time constants2.Pools3.Transitions

STRUCTURAL PROPERTIESTowards systems biology

Glycolysis:the system with symbolic representation

Structural Properties:redox trafficking in glycolysis

(#): Redox value

#: Flux value

Structural Properties:high-energy bond trafficking in glycolysis

(#): High-energy bond “value”

x: Flux value

Structural Properties:The Trafficking of Phosphate Groups in

Glycolysis

“through”

“cycle”

Pools:from structural properties

Redox Value of Intermediatesreduce glycolytic

intermediates

oxydized glycolyticintermediates

met

abol

ites

carr

ier

Energy Value of Intermediates

Phosphate Bond Trafficking

Incorporation:

Recycled:

Recycleratio:

Pool Map:shows their

interconnections and steady state

concentrations by area of square

Dynamic Responses of the Pools

2(ATP+ADP+AMP)

2ATP+ADP

Pi

~Pi

capacity

occupancy

GP+ and GP-

RATIOSTowards physiology

Dynamic Responses of the ratios

Adenosine E.C

Glycolytic E.C

Phosphate recycle ratio

Property rations or

charges and their dynamic

responses

Summary• First draft dynamic models can be obtained from using

measured concentration values, elementary reactions, and associated mass action kinetics.

• This first draft can be used as a scaffold to build more complicated models that include regulatory effects and interactions with other pathways.

• Dynamic simulation can be performed for perturbation in environmental parameters and the responses examined in terms of the concentrations and the fluxes.

• A metabolic map can be analyzed for its stoichiometric texture to assess the co-factor coupling

• Such breakdown of the biochemistry helps define pools that are physiologically meaningful from a metabolic perspective, and are context dependent.

Summary• The raw output of the simulation can be post processed

with a pooling matrix that allows the pools and their ratios to be graphed to obtain a deeper interpretation of dynamic responses.

• Some of the responses are built into the topological features of a network and require no regulatory action.

• The identification of the reactions that move the key pools is possible by the use of the stoichiometric matrix.