Evidence map›Paper›PMID 32985550›Full record

ArticleScientific reports2020

Deciphering collaborative sidechain motions in proteins during molecular dynamics simulations.

Bruck Taddese, Antoine Garnier, Hervé Abdi, Daniel Henrion, Marie Chabbert

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Bruck TaddeseCNRS UMR 6015 - INSERM U1083, MITOVASC Laboratory, University of Angers, Angers, France.
Antoine GarnierCNRS UMR 6015 - INSERM U1083, MITOVASC Laboratory, University of Angers, Angers, France.
Hervé AbdiSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, USA.
Daniel HenrionCNRS UMR 6015 - INSERM U1083, MITOVASC Laboratory, University of Angers, Angers, France.
Marie ChabbertCNRS UMR 6015 - INSERM U1083, MITOVASC Laboratory, University of Angers, Angers, France. marie.chabbert@univ-angers.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamic structure of proteins is essential for their functions and may include large conformational transitions which can be studied by molecular dynamics (MD) simulations. However, details of these transitions are difficult to automatically track. To facilitate their analysis, we developed two scores of correlation between sidechain dihedral angles. The CIRCULAR and OMES scores are computed from, respectively, dihedral angle values and rotamer distributions. As a case study, we applied our methods to an activation-like transition of the chemokine receptor CXCR4, observed during accelerated MD simulations. The principal component analysis of the correlation matrices was consistent with the networking structure of the top ranking pairs. Both scores identify a set of residues whose "collaborative" sidechain rotamerization immediately preceded or accompanied the conformational transition of CXCR4. Detailed analysis of the sequential order of these rotamerizations suggests that an allosteric mechanism, involving the outward motion of an asparagine residue in transmembrane helix 3, might be a prerequisite to the large scale conformational transition of CXCR4. This case study provides the proof-of-concept that the correlation methods developed here are valuable exploratory techniques to help decipher complex reactional pathways.

Indexed as

Molecular Dynamics SimulationProtein ConformationProteinsProteins

Identifiers

PMID32985550
PMCPMC7522237

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.