2021
DOI: 10.1021/acs.analchem.1c02705
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Characterizing Bi-substrate Enzyme Kinetics at High Resolution by 2D-ITC

Abstract: There is growing interest in using isothermal titration calorimetry (ITC) to characterize enzyme kinetics by measuring the heat produced or absorbed by catalysis in real time. Since virtually all chemical reactions are associated with changes in enthalpy, ITC represents a robust and nearly universal experimental approach. Nevertheless, there are technical challenges that limit ITC’s applicability. For instance, the full kinetic characterization of enzymes with two substrates (bi-substrate enzymes), which compr… Show more

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Cited by 5 publications
(7 citation statements)
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“…For DFs on the order of 23 000, the critical F value is 1.042, meaning that any difference in SSE of >4.2% is enough to deem the fits significantly different at a p-value of 0.001. 14,17 In our case, the difference between the best-fitting mechanism (SSE = 70) and the closest contender (random-sequential; SSE = 113) is >60%. Thus, the enzyme mechanism is elucidated with a high degree of confidence.…”
Section: T H Imentioning
confidence: 66%
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“…For DFs on the order of 23 000, the critical F value is 1.042, meaning that any difference in SSE of >4.2% is enough to deem the fits significantly different at a p-value of 0.001. 14,17 In our case, the difference between the best-fitting mechanism (SSE = 70) and the closest contender (random-sequential; SSE = 113) is >60%. Thus, the enzyme mechanism is elucidated with a high degree of confidence.…”
Section: T H Imentioning
confidence: 66%
“…As the degrees of freedom increase, the difference between the SSE required for ascertaining better data fitness to one model over the other decreases, because normalS normalS normalE 1 × normalD normalF 2 normalS normalS normalE 2 × normalD normalF 1 follows an F -distribution. For DFs on the order of 23 000, the critical F value is 1.042, meaning that any difference in SSE of >4.2% is enough to deem the fits significantly different at a p -value of 0.001. , In our case, the difference between the best-fitting mechanism (SSE = 70) and the closest contender (random-sequential; SSE = 113) is >60%. Thus, the enzyme mechanism is elucidated with a high degree of confidence.…”
mentioning
confidence: 61%
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