Evidence map›Paper›PMID 16046535›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2005

Functional conformational motions in the turnover cycle of cholesterol oxidase.

Hans-Philipp Lerch, Rudolf Rigler, Alexander S Mikhailov

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Memory effects of transcription regulator-DNA interactions in bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Biochemistry. Enzymes in coherent motion.Science (New York, N.Y.) · 2012
    Article
  9. Article
  10. Article
  11. Multiple-state reactions between the epidermal growth factor receptor and Grb2 as observed by using single-molecule analysis.Proceedings of the National Academy of Sciences of the United States of America · 2007
    Article
  12. Article
  13. Nonlinear relaxation dynamics in elastic networks and design principles of molecular machines.Proceedings of the National Academy of Sciences of the United States of America · 2007
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hans-Philipp LerchAbteilung Physikalische Chemie, Fritz-Haber-Institut der Max-Planck-Gesellschaft, Faradayweg 4-6, D-14195 Berlin, Germany. hlerch@stanford.edu
Rudolf Rigler
Alexander S Mikhailov

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reexamining experimental data of single-molecule fluorescence correlation spectroscopy for cholesterol oxidase, we find that the existing Michaelis-Menten models with dynamical disorder cannot explain strong correlations between subsequent turnover cycles revealed in the diagonal feature in the joint statistical distribution of adjacent "on" times of this enzyme. We suggest that functional conformational motions representing ordered sequences of transitions between a set of conformational substates are involved, along with equilibrium conformational fluctuations in the turnover cycle of cholesterol oxidase. A two-channel model of single-enzyme dynamics, including a slow functional conformational motion in one of the channels, is proposed that allows us to reproduce such strong correlations.

Indexed as

Cholesterol OxidaseFlavin-Adenine DinucleotideKineticsModels, BiologicalOxidation-ReductionProtein ConformationSpectrometry, FluorescenceSubstrate SpecificityThermodynamicsCholesterol OxidaseFlavin-Adenine Dinucleotide

Identifiers

PMID16046535
PMCPMC1182465

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.