Metabolic Network Flashcards
Metabolism
the set of life-sustaining chemical transformation within the cell organisms
Purpose metabolism:
Extraction of energy, storage of fuels, synthesis (proteins, lipids, nucleic acid, carbohydrate), elimination of waste
Components:
connected reaction= production of one is substrate of next
Catalyzed by enzymes
Activity tuned according to immediate needs
Coordinate series of chemical reactions
Goal is to create or breakdown a molecule
Glycolysis to ATP
Glycolysis: glucose to pyruvate
Krebs Cycle/ TCA cycle: (pyruvate to citrate), citrate to ATP
LDH
ATP to ADP by hydrolysis (water slip off negatively charged bounds), this release energy
Metabolism network
nodes: metabolites
edges: reactions
Genome scale: many parameters, extensive data -> infeasible for most metabolic network. Gene expression allows to construct network for specific cell type -> map data : constrained.
Study:
network connectivity (on log scale: some metabolites participate to thousands reactions others in a few)
reaction rate: fluxes, how much product produced per time -> fluxes can be function of time: dynamic modeling, how much is consumed, concentrations, etc
Mendelian disease/ ordinary disease
Mendelian disease: affect a single gene/enzyme
Ordinary disease: many deficiencies in network (not all lead to disease)
Metabolic fluxed modeling
v1,v2,… reaction rates/fluxes. Reaction irreversible if directed to one direction
Constrained solution space: upper/lower bounds on reactions -> uptake. Solution space gives max possible value
Steady state: each metabolite has constant concentration. Will lead to a constant state vector
Only stoichiomestry is required to predict steady states
Mass balance: v_production - v_consumption = 0
Steady state based on mass balance constraint: constraint based modeling
Can find optimal steady state to optimize production
Stoichiometric matrix
Contains structure of network Column: stochiometry of 1 reaction rows: metabolites consumed/produced -k if consumed by reaction k times \+k if produced by reaction k times
mass balance equation
for each metabolites: reaction production=reaction consumption
Flux balance analysis
Predicting flux steady state by maximizing objective function
Warburg effect
Cancer: high rate of glycolysis and lactic acid fermentation even with O2. Pyruvate to Lactate ! As if anaerobic
Normal: pyruvate to lactate and lactate back to pyruvate. Then pyruvate to TCA cycle and OXPHOS. ATP!
Cancer metabolic network
Remove gene not expressed -> proteins produced will also be low expressed