Evidence map›Paper›PMID 21049303›Full record

ArticleJournal of biomolecular NMR2010

Mapping the encounter state of a transient protein complex by PRE NMR spectroscopy.

Alexander N Volkov, Marcellus Ubbink, Nico A J van Nuland

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomolecular NMR, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 54 citations in OpenAlex.

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  13. Visualizing transient dark states by NMR spectroscopy.Quarterly reviews of biophysics · 2015
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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 3 institutions in 2 countries.

Alexander N VolkovDepartment of Molecular and Cellular Interactions, VIB, Pleinlaan 2, 1050, Brussels, Belgium. ovolkov@vub.ac.be
Marcellus Ubbink
Nico A J van Nuland
Leiden University · NLVIB-VUB Center for Structural Biology · BEVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many biomolecular interactions proceed via a short-lived encounter state, consisting of multiple, lowly-populated species invisible to most experimental techniques. Recent development of paramagnetic relaxation enhancement (PRE) nuclear magnetic resonance (NMR) spectroscopy has allowed to directly visualize such transient intermediates in a number of protein-protein and protein-DNA complexes. Here we present an analysis of the recently published PRE NMR data for a protein complex of yeast cytochrome c (Cc) and cytochrome c peroxidase (CcP). First, we describe a simple, general method to map out the spatial and temporal distributions of binding geometries constituting the Cc-CcP encounter state. We show that the spatiotemporal mapping provides a reliable estimate of the experimental coverage and, at higher coverage levels, allows to delineate the conformational space sampled by the minor species. To further refine the encounter state, we performed PRE-based ensemble simulations. The generated solutions reproduce well the experimental data and lie within the allowed regions of the encounter maps, confirming the validity of the mapping approach. The refined encounter ensembles are distributed predominantly in a region encompassing the dominant form of the complex, providing experimental proof for the results of classical theoretical simulations.

Indexed as

Cytochrome-c PeroxidaseCytochromes cElectron Spin Resonance SpectroscopyMitochondriaModels, MolecularMultiprotein ComplexesNuclear Magnetic Resonance, BiomolecularProtein BindingProtein ConformationProtein Interaction MappingYeastsCytochrome-c PeroxidaseCytochromes cMultiprotein Complexes

Identifiers

PMID21049303
PMCPMC3235994
OpenAlexW2006420935

What OpenQuestion holds

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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.