Fitting Michaelis-Menten directly to substrate concentration data

More documents

Recommendations

Info

Nested minimization[ n∑ ∫ {min min {s i −f (t i )} 2 +λ f ′ (t)− V }maxf (t) 2dt]{V max ,K m} βK m + f (t)i=1where f (t) = Φ(t)β, B-spline(Cao et al., Biometrics, 2011)
Semi-parametric methodFit spline to (S, t) data, conforming to MM, but ...◮ Large number of non-linear parameters.
Page 1 and 2:
Fitting Michaelis-Menten directly t
Page 3 and 4:
OutlineEnzyme KineticsMichaelis−M
Page 5 and 6:
OutlineEnzyme KineticsMichaelis−M
Page 7 and 8:
Enzymes‘Little’ molecular machi
Page 9 and 10:
An enzyme reactionk 1S + E 0 ⇋ E
Page 11 and 12:
An enzyme reactionk 1S + E 0 ⇋ E
Page 13 and 14:
Enzyme kineticsScientists wish to
Page 15 and 16:
Enzyme kineticsScientists wish to
Page 17 and 18:
Reaction rates . . .k 1S + E 0 ⇋
Page 19 and 20:
k 1S + E 0 ⇋ E 1k−→2E0 + Pk
Page 21 and 22:
k 1S + E 0 ⇋ E 1k−→2E0 + Pk
Page 23 and 24:
Reaction rates . . .dSdt= −k 1 SE
Page 25 and 26: ... which give...dSdt= (k 2E T S( )
Page 27 and 28: ... which give...dSdt= (k 2E T S( )
Page 29 and 30: The Michaelis-Menten equation.v = V
Page 31 and 32: How good is the steady-state approx
Page 33 and 34: Traditional estimation of V maxand
Page 39 and 40: Fit directly to concentration data,
Page 41 and 42: Fit directly to concentration data,
Page 43 and 44: Solution to S(t){ ( )}S0 S0 − V m
Page 45 and 46: Estimation strategies using (S, t)
Page 47 and 48: Estimation strategies using (S, t)
Page 49 and 50: Transform (S, t) to (v, S ∗ )?v i
Page 51 and 52: Note that{ }Si+1 − S iVar(V i ) =
Page 53 and 54: Fitting v = V maxS ∗K m +S ∗ ,
Page 55 and 56: Transforming (S, t) to (v, S ∗ )
Page 57 and 58: Direct fit to (S, t) data: S(t) num
Page 65 and 66: Euler’s solution to S(t)Simple to
Page 67 and 68: Analytic numeric solution for S(t)?
Page 69 and 70: Analytic numeric solution for S(t)?
Page 71 and 72: "Fit Michealis-Menten (following Go
Page 73 and 74: Semi-parametric method?Represent S(
Page 75: Semi-parametric method?Represent S(
Page 79 and 80: Semi-parametric methodFit spline to
Page 81 and 82: Semi-parametric methodFit spline to
Page 83 and 84: 4. OptionsPRINT = stringPLOT = stri
Page 85: MICHAELIS CONC=S; TIME=ElapsDays357
Page 88 and 89: MICHAELIS CONC=S; TIME=ElapsDaysRGR
Page 90: MICHAELIS CONC=S; TIME=ElapsDaysRGR
Page 93 and 94: Fix K 1 = 0 (original Michaelis-Men
show all

Fitting Michaelis-Menten directly to substrate concentration data

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?