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  Statistical tools for the detection of memory and conformational motions in single-enzyme kinetics

Lerch, H.-P., Mikhailov, A. S., & Rigler, R. (2007). Statistical tools for the detection of memory and conformational motions in single-enzyme kinetics. Chemical Physics, 331(2-3), 304-308. doi:10.1016/j.chemphys.2006.10.025.

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 Creators:
Lerch, Hans-Philipp1, Author           
Mikhailov, Alexander S.1, Author           
Rigler, Rudolf, Author
Affiliations:
1Physical Chemistry, Fritz Haber Institute, Max Planck Society, ou_634546              

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Free keywords: Single-enzyme kinetics; Conformational motions; Memory landscape; Enzyme memory
 Abstract: We have systematically applied the statistical methods memory landscape and difference distribution of on-times to five models of cholesterol oxidase. The memory landscape expresses the deviation from the Markov assumption. The difference distribution of on-times gives the non-Markovian part of the joint probability distribution of adjacent on-times. Both statistical tools allow an easy discrimination among the models, and therefore provide an answer to the question whether functional conformational motions are present in the turnover cycle of the enzyme. These statistical methods can be applied to any time series data from single-enzyme experiments.

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Title: Chemical Physics
  Alternative Title : Chem. Phys.
Source Genre: Journal
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Pages: - Volume / Issue: 331 (2-3) Sequence Number: - Start / End Page: 304 - 308 Identifier: -