1989
DOI: 10.1042/bj2580381
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of progress curves by simulations generated by numerical integration

Abstract: A highly flexible computer program written in FORTRAN is presented which fits computer-generated simulations to experimental progress-curve data by an iterative non-linear weighted least-squares procedure. This fitting procedure allows kinetic rate constants to be determined from the experimental progress curves. Although the numerical integration of the rate equations by a previously described method [Barshop, Wrenn & Frieden (1983) Anal. Biochem. 130, 134-145] is used here to generate predicted curves, any r… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

3
206
0
2

Year Published

1995
1995
2023
2023

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 231 publications
(211 citation statements)
references
References 19 publications
3
206
0
2
Order By: Relevance
“…Butylthiophosphate is very stable in the pH range 10 -14, whereas the thiophospho-PTS proteins are not. Above pH 12, the behavior of the two thiophospho-PTS proteins (19,20), or by nonlinear least squares fitting of the data from groups of experiments using Fitsim (21). The analyses were performed by first choosing a KЈ D for the sugar binding reaction; the table shows the results obtained for K D ϭ 10…”
Section: Resultsmentioning
confidence: 99%
“…Butylthiophosphate is very stable in the pH range 10 -14, whereas the thiophospho-PTS proteins are not. Above pH 12, the behavior of the two thiophospho-PTS proteins (19,20), or by nonlinear least squares fitting of the data from groups of experiments using Fitsim (21). The analyses were performed by first choosing a KЈ D for the sugar binding reaction; the table shows the results obtained for K D ϭ 10…”
Section: Resultsmentioning
confidence: 99%
“…The distribution of A43a (active) and A43p (paused) states was determined as a function of stall time, as shown above. The data were fit to simple kinetic models, using the program KinTekSim (43,44). We found, however, that kinetic models required an unexpected feature.…”
Section: Resultsmentioning
confidence: 99%
“…Kinetic Modeling-Kinetic models were fit to experimental data using the program KinTekSim (43,44). No ATP-or GTP-dependent steps were considered in these models, because elongation from C40 was found to be largely independent of the ATP concentration, within a large concentration range (10 -250 M ATP), and modeling ATP-dependent steps was not necessary.…”
Section: Methodsmentioning
confidence: 99%
“…In calculating the amplitudes of absorbance and fluorescence changes, due correction was made for the signal undetected in the dead time. Rate constants were fitted to the kinetic scheme (see Reaction 2) using the programs KINSIM (28) and FITSIM (29).…”
Section: Methodsmentioning
confidence: 99%