Evidence map›Paper›PMID 20822947›Full record

ReviewCurrent opinion in chemical biology2010

Enzyme dynamics point to stepwise conformational selection in catalysis.

Buyong Ma, Ruth Nussinov

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing 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

107 citing papers in PubMed.

  1. Article
  2. Article
  3. Rational Engineering of Patchoulene Synthase fromInternational journal of molecular sciences · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Ratcheting synthesis.Nature reviews. Chemistry · 2024
    Review
  11. Reactivity Tracking of an Enzyme Progress Coordinate.The journal of physical chemistry letters · 2023
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Leveraging intrinsic flexibility to engineer enhanced enzyme catalytic activity.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. Article
  20. Article

47 more citing papers are in PubMed but not listed here.

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

2 authors.

Buyong MaBasic Science Program, SAIC-Frederick, Inc., Center for Cancer Research Nanobiology Program, NCI-Frederick, Frederick, MD 21702, USA. mabuyong@mail.nih.gov
Ruth Nussinov

Funding

Biomolecular Recognition and Binding MechanismsZIABC010441 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2009 to 2025
$9.4M
CCR NIH HHS HHSN261200800001CIntramural NIH HHSNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Recent data increasingly reveal that conformational dynamics are indispensable to enzyme function throughout the catalytic cycle, in substrate recruiting, chemical transformation, and product release. Conformational transitions may involve conformational selection and induced fit, which can be viewed as a special case in the catalytic network. NMR, X-ray crystallography, single-molecule FRET, and simulations clearly demonstrate that the free enzyme dynamics already encompass all the conformations necessary for substrate binding, preorganization, transition-state stabilization, and product release. Conformational selection and substate population shift at each step of the catalytic turnover can accommodate enzyme specificity and efficiency. Within such a framework, entropy can have a larger role in conformational dynamics than in direct energy transfer in dynamically promoted catalysis.

Indexed as

BiocatalysisEnzymesHumansProtein ConformationSubstrate SpecificityEnzymes

Identifiers

PMID20822947
PMCPMC6407632

What OpenQuestion holds

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Registered trials

None linked

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.