Evidence map›Paper›PMID 21425868›Full record

ArticleBiochemistry2011

Rate-limiting domain and loop motions in arginine kinase.

Omar Davulcu, Jack J Skalicky, Michael S Chapman

Open access · greenAbstract read
In one paragraph

Article in Biochemistry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  5. Using NMR spectroscopy to elucidate the role of molecular motions in enzyme function.Progress in nuclear magnetic resonance spectroscopy · 2016
    Review
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  7. Article
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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

3 authors at 2 institutions in 1 country.

Omar DavulcuDepartment of Biochemistry and Molecular Biology, Oregon Health and Science University, Portland, Oregon 97239-3098, United States.
Jack J Skalicky
Michael S Chapman
Oregon Health & Science University · USUniversity of Utah · US

Funding

Functional Dynamics During Induced-fit Enzyme TurnoverR01GM077643 · NIGMS · OREGON HEALTH & SCIENCE UNIVERSITY · PI CHAPMAN, MICHAEL S. · 2007 to 2015
$2.7M
NIGMS NIH HHS GM77643NIGMS NIH HHS R01 GM077643
6 · The paper itself

Abstract

Arginine kinase catalyzes the reversible transfer of a phosphoryl group between ATP and arginine. It is the arthropod homologue of creatine kinase, buffering cellular ATP levels. Crystal structures of arginine kinase, in substrate-free and substrate-bound forms, have revealed large conformational changes associated with the catalytic cycle. Recent nuclear magnetic resonance identified movements of the N-terminal domain and a loop comprising residues I182--G209 with conformational exchange rates in the substrate-free enzyme similar to the turnover rate. Here, to understand whether these motions might be rate-limiting, we determined activation barriers for both the intrinsic dynamics and enzyme turnover using measurements over a temperature range of 15-30 °C. (15)N transverse relaxation dispersion yields activation barriers of 46 ± 8 and 34 ± 12 kJ/mol for the N-terminal domain and I182--G209 loop, respectively. An activation barrier of 34 ± 13 kJ/mol was obtained for enzyme turnover from steady-state kinetics. The similarity between the activation barriers is indeed consistent with turnover being limited by backbone conformational dynamics and pinpoints the locations of potentially rate-limiting motions.

Indexed as

Catalytic DomainAnimalsArginine KinaseHorseshoe CrabsModels, MolecularMolecular Dynamics SimulationNuclear Magnetic Resonance, BiomolecularProtein ConformationProtein Structure, SecondaryTime FactorsArginine Kinase

Identifiers

PMID21425868
PMCPMC3091953
OpenAlexW2009776493

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.