simulating a gene regulatory network (grn)

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Simulating A Gene Regulatory Network (GRN). A Delay Flip-Flop Implementation. Outline. Simulation Hill Equation Michaelis-Menten BioD Results. Outline. Simulation Hill Equation Michaelis-Menten BioD Results. Simulation. Why do we simulate ?. Simulation. Cost effective Fast - PowerPoint PPT Presentation

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Simulating A Gene Regulatory Network (GRN)

A Delay Flip-Flop Implementation

2

Outline Simulation Hill Equation Michaelis-Menten BioD Results

3

Outline Simulation Hill Equation Michaelis-Menten BioD Results

4

Simulation

Why do we simulate ?

5

Simulation Cost effective Fast Proven method

An “analytic” model is appropriate when mathematics can be used to find the exact (deterministic) or probable (stochastic) values of the measures of performance.

We cannot test

6

Outline Simulation Hill Equation Michaelis-Menten BioD Results

7

Outline Simulation Hill Equation Michaelis-Menten BioD Results

8

Hill Equation

9

Hill Equation

ndegradatio

R from inhibition

tion transcripmax.

][][1

1.][ mX

KRdt

mXdmXn

R

Q R

10

Hill Equation

ndegradatio

R from inhibition

leakagetion transcripmax.

][][1

1.1.][ mX

KR

aadtmXd

mXn

R

Q R

11

Hill Equation

ndegradatio

R2 from inhibition

2

R1 from inhibition

1

leakagetion transcripmax.

][]2[1

1.]1[1

1.1.][21

mX

KR

KR

aadtmXd

mXn

R

n

R

Q RR

12

Hill Equation

ndegradatio

A from activationR from inhibition

leakagetion transcripmax.

][][1

][

.][1

1.1.][ mX

KA

KA

KR

aadtmXd

mXn

A

n

An

R

Q A

A

R

13

Outline Simulation Hill Equation Michaelis-Menten BioD Results

14

Outline Simulation Hill Equation Michaelis-Menten BioD Results

15

Michaelis-Menten

http://en.wikipedia.org/wiki/Enzyme_kinetics

16

Outline Simulation Hill Equation Michaelis-Menten BioD Results

17

Outline Simulation Hill Equation Michaelis-Menten BioD Results

18

BioD

19

BioD

][]4[1

][4

4

1 mCIcr

KGaldt

mCIcrdmCIcrn

Gal

Gal

20

BioD

][][1

][

.][1

1.][1

][ mCI

KOmpR

KOmpR

KOmpRP

KCIIdt

mCIdmCIn

OmpR

n

OmpRn

OmpRP

n

CII

ompf

OmpR

OmpR

OmpRPCII

21

BioD

OmpR

OmpR

OmpRPCI n

OmpR

n

OmpRn

OmpRP

n

CI

ompf

KOmpR

KOmpR

KOmpRP

KCIdt

mCIId

][1

][

.][1

1.][1

][

22

BioD

][][1

][ 2 mCII

KCIdt

mCIIdmCIIn

CI

CI

23

BioD

][][3 mOmpR

dtmOmpRd

mOmpR

24

BioD

]4[][1

][

.][1

1.][1

]4[4 mGal

KOmpR

KOmpR

KOmpRP

KCIdt

mGaldmGaln

OmpR

n

OmpRn

OmpRP

n

CI

ompf

OmpR

OmpR

OmpRPCI

25

BioD

OmpR

OmpR

OmpRPCI n

OmpR

n

OmpRn

OmpRP

n

CI

ompf

KOmpR

KOmpR

KOmpRP

KCIdt

mTetRd

][1

][

.][1

1.][1

][

26

BioD

][][1

][ 6 mTetR

KLacIdt

mTetRdmTetRn

LacI

LacI

27

BioD

OmpR

OmpR

OmpRPCII n

OmpR

n

OmpRn

OmpRP

n

CII

ompf

KOmpR

KOmpR

KOmpRP

KCIIdt

mLacId

][1

][

.][1

1.][1

][

28

BioD

][][1

][ 7 mLacI

KTetRdt

mLacIdmLacIn

TetR

TetR

29

BioD

].[].[][ CIImCIIdtCIId

CIICII

30

BioD

].[].[][ CImCIdtCId

CICI

31

].[].[]].[12[.][

12

CImCIKmCIcrtaR

dtCId

CICItaR

CI

BioD

32

Law of Mass Action

33

].[].[]].[12[.][

12

CImCIKmCIcrtaR

dtCId

CICItaR

CI

BioD

34

BioD

].[].[][ OmpRmOmpRdtOmpRd

OmpROmpR

35

BioD

][]).[1.(

].[][OmpRkOmpRLV

OmpRPVdtOmpRd

phos

phosdePhos

36

BioD

].[].[][

]).[1.(][ OmpRPOmpRPVOmpRkOmpRLV

dtOmpRPd

OmpRPdePhosphos

phos

37

BioD

]4.[]4.[]4[44 GalmGal

dtGald

GalGal

38

BioD

].[].[][ TetRmTetRdtTetRd

TetRTetR

39

BioD

].[].[][ LacImLacIdtLacId

LacILacI

40

Outline Simulation Hill Equation Michaelis-Menten BioD Results

41

Outline Simulation Hill Equation Michaelis-Menten BioD Results

42

Results

43

BioD

44

Results

45

Results

46

Results

47

Results

48

Results

49

BioD

50

Results

51

Results

52

Results

53

Results

54

Questions…

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