Fitting Michaelis-Menten directly to substrate concentration data

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Traditional estimation of V maxand K mLinearize v = V maxS, Linear regression, or graphicalK m + S◮ 1v = 1V max+ KmV max1SLineweaver Burk, 1939◮◮vS = VmaxK m− 1K mv Scatchard, 1949Sv = KmV max+ 1V maxS Woolf (Haldane, 1957)◮ or by non-linear regression. (e.g. FITCURVE [CURVE=ldl])v i and S i derived from experiment i = 1 . . . k
Fit directly to concentration data, S vs t?
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 35 and 36: Traditional estimation of V maxand
Page 37: Traditional estimation of V maxand
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 and 76: Semi-parametric method?Represent S(
Page 77 and 78: 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
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Fitting Michaelis-Menten directly to substrate concentration data

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