Evidence map›Paper›PMID 32159076›Full record

ArticleNature catalysis2019

Probing the Transition State in Enzyme Catalysis by High-Pressure NMR Dynamics.

John B Stiller, S Jordan Kerns, Marc Hoemberger, Young-Jin Cho, Renee Otten, Michael F Hagan, Dorothee Kern

Open access · greenAbstract read
In one paragraph

Article in Nature catalysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

19 citing papers in PubMed, 52 citations in OpenAlex.

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  5. Activation dynamics of ubiquitin-specific protease 7.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  8. Journal of chemical theory and computation · 2024
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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

7 authors at 2 institutions in 1 country.

John B StillerDepartment of Biochemistry and Howard Hughes Medical Institute, Brandeis University, Waltham, Massachusetts 02452, United States.
S Jordan KernsDepartment of Biochemistry and Howard Hughes Medical Institute, Brandeis University, Waltham, Massachusetts 02452, United States.
Marc HoembergerDepartment of Biochemistry and Howard Hughes Medical Institute, Brandeis University, Waltham, Massachusetts 02452, United States.
Young-Jin ChoDepartment of Biochemistry and Howard Hughes Medical Institute, Brandeis University, Waltham, Massachusetts 02452, United States.
Renee OttenDepartment of Biochemistry and Howard Hughes Medical Institute, Brandeis University, Waltham, Massachusetts 02452, United States.
Michael F HaganDepartment of Physics, Brandeis University, Waltham, Massachusetts 02452, United States.
Dorothee KernDepartment of Biochemistry and Howard Hughes Medical Institute, Brandeis University, Waltham, Massachusetts 02452, United States.
Howard Hughes Medical Institute · USBrandeis University · US

Funding

Macromolecular Structure MechanismT32GM007596 · NIGMS · BRANDEIS UNIVERSITY · PI OPRIAN, DANIEL D · 1985 to 2019
$4.5M
Collaborative experimental & computational studies of conformational transitionsR01GM100966 · NIGMS · BRANDEIS UNIVERSITY · PI HAGAN, MICHAEL F, KERN, DOROTHEE · 2013 to 2016
$1.2M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM100966NIGMS NIH HHS T32 GM007596
6 · The paper itself

Abstract

Protein conformational changes are frequently essential for enzyme catalysis, and in several cases, shown to be the limiting factor for overall catalytic speed. However, a structural understanding of corresponding transition states, needed to rationalize the kinetics, remains obscure due to their fleeting nature. Here, we determine the transition-state ensemble of the rate-limiting conformational transition in the enzyme adenylate kinase, by a synergistic approach between experimental high-pressure NMR relaxation during catalysis and molecular dynamics simulations. By comparing homologous kinases evolved under ambient or high pressure in the deep-sea, we detail transition state ensembles that differ in solvation as directly measured by the pressure dependence of catalysis. Capturing transition-state ensembles begins to complete the catalytic energy landscape that is generally characterized by structures of all intermediates and frequencies of transitions among them.

Identifiers

PMID32159076
PMCPMC7063682
OpenAlexW2952916873

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.