Fitting Michaelis-Menten directly to substrate concentration data

More documents

Recommendations

Info

Transforming (S, t) to (v, S ∗ ) data:Allows us to fit MM directly, but ...◮ Heteroscedasticity, due to unequal δ i .◮ Correlated errors, MA(1), induced by differencing:V i = − S i+1 − S iδ i, ⇒ Cov(V i , V i+1 ) = − σ2δ i δ i+1◮ Errors in variables:Var(S ∗ ) = σ22
Direct fit to (S, t) data: S(t) numeric solution?◮ E.g., S(t) by Euler’s method:
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: Transforming (S, t) to (v, S ∗ )
Page 59 and 60: 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
show all

Fitting Michaelis-Menten directly to substrate concentration data

Create successful ePaper yourself

Delete template?

Save as template?