Evidence map›Paper›PMID 18369194›Full record

ArticleProtein science : a publication of the Protein Society2008

Correspondences between low-energy modes in enzymes: dynamics-based alignment of enzymatic functional families.

Andrea Zen, Vincenzo Carnevale, Arthur M Lesk, Cristian Micheletti

Abstract readComparative Study
In one paragraph

Article in Protein science : a publication of the Protein Society, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
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  10. Patterns of coevolving amino acids unveil structural and dynamical domains.Proceedings of the National Academy of Sciences of the United States of America · 2017
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  11. Article
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  15. Biophysics of protein evolution and evolutionary protein biophysics.Journal of the Royal Society, Interface · 2014
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  16. Article
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  18. Sequence evolution correlates with structural dynamics.Molecular biology and evolution · 2012
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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

4 authors.

Andrea ZenInternational School for Advanced Studies and CNR-INFM Democritos, 34014 Trieste, Italy.
Vincenzo Carnevale
Arthur M Lesk
Cristian Micheletti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins that show similarity in their equilibrium dynamics can be aligned by identifying regions that undergo similar concerted movements. These movements are computed from protein native structures using coarse-grained elastic network models. We show the existence of common large-scale movements in enzymes selected from the main functional and structural classes. Alignment via dynamics does not require prior detection of sequence or structural correspondence. Indeed, a third of the statistically significant dynamics-based alignments involve enzymes that lack substantial global or local structural similarities. The analysis of specific residue-residue correspondences of these structurally dissimilar enzymes in some cases suggests a functional relationship of the detected common dynamic features. Including dynamics-based criteria in protein alignment thus provides a promising avenue for relating and grouping enzymes in terms of dynamic aspects that often, though not always, assist or accompany biological function.

Indexed as

Evolution, MolecularProtein FoldingEnzymesProtein ConformationSequence AlignmentEnzymes

Identifiers

PMID18369194
PMCPMC2327282

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.