Fitting Michaelis-Menten directly to substrate concentration data

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MICHAELIS CONC=S; TIME=ElapsDaysRGRAPH INDEX=ElapsDays
MICHAELIS CONC=S; TIME=ElapsDaysRGRAPH INDEX=ElapsDaysRCHECK
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Fitting Michaelis-Menten directly t
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OutlineEnzyme KineticsMichaelis−M
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OutlineEnzyme KineticsMichaelis−M
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Enzymes‘Little’ molecular machi
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An enzyme reactionk 1S + E 0 ⇋ E
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An enzyme reactionk 1S + E 0 ⇋ E
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Enzyme kineticsScientists wish to
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Enzyme kineticsScientists wish to
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Reaction rates . . .k 1S + E 0 ⇋
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k 1S + E 0 ⇋ E 1k−→2E0 + Pk
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k 1S + E 0 ⇋ E 1k−→2E0 + Pk
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Reaction rates . . .dSdt= −k 1 SE
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... which give...dSdt= (k 2E T S( )
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... which give...dSdt= (k 2E T S( )
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The Michaelis-Menten equation.v = V
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How good is the steady-state approx
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Traditional estimation of V maxand
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Traditional estimation of V maxand
Page 37 and 38: 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 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 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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