Evidence map›Paper›PMID 31028708›Full record

ArticleMolecular biology and evolution2019

Shared Signature Dynamics Tempered by Local Fluctuations Enables Fold Adaptability and Specificity.

She Zhang, Hongchun Li, James M Krieger, Ivet Bahar

Abstract readEvaluation Study
In one paragraph

Article in Molecular biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  7. Global hinge sites of proteins as target sites for drug binding.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. WatFinder: a ProDy tool for protein-water interactions.Bioinformatics (Oxford, England) · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Activation and Speciation Mechanisms in Class A GPCRs.Journal of molecular biology · 2022
    Article
  14. Protein dynamics developments for the large scale and cryoEM: case study of ProDy 2.0.Acta crystallographica. Section D, Structural biology · 2022
    Review
  15. Article
  16. Article
  17. Structural dynamics in the evolution of a bilobed protein scaffold.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Article
  19. Article
  20. Article
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.

She ZhangDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA.
Hongchun LiDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA.
James M KriegerDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA.
Ivet BaharDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA.

Funding

TrainingP41GM103712 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COMPEAU, PHILLIP EDWARD CHARLES · 2012 to 2021
$16.3M
NIDA Center of Excellence OF Computational Drug Abuse Research (CDAR)P30DA035778 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, XIE, XIANG-QUN · 2014 to 2018
$5.4M
NIDA NIH HHS P30 DA035778NIGMS NIH HHS P41 GM103712
6 · The paper itself

Abstract

Recent studies have drawn attention to the evolution of protein dynamics, in addition to sequence and structure, based on the premise structure-encodes-dynamics-encodes-function. Of interest is to understand how functional differentiation is accomplished while maintaining the fold, or how intrinsic dynamics plays out in the evolution of structural variations and functional specificity. We performed a systematic computational analysis of 26,899 proteins belonging to 116 CATH superfamilies. Characterizing cooperative mechanisms and convergent/divergent features that underlie the shared/differentiated dynamics of family members required a methodology that lends itself to efficient analyses of large ensembles of proteins. We therefore introduced, SignDy, an integrated pipeline for evaluating the signature dynamics of families based on elastic network models. Our analysis confirmed that family members share conserved, highly cooperative (global) modes of motion. Importantly, our analysis discloses a subset of motions that sharply distinguishes subfamilies, which lie in a low-to-intermediate frequency regime of the mode spectrum. This regime has maximal impact on functional differentiation of families into subfamilies, while being evolutionarily conserved among subfamily members. Notably, the high-frequency end of the spectrum also reveals evolutionary conserved features across and within subfamilies; but in sharp contrast to global motions, high-frequency modes are minimally collective. Modulation of robust/conserved global dynamics by low-to-intermediate frequency fluctuations thus emerges as a versatile mechanism ensuring the adaptability of selected folds and the specificity of their subfamilies. SignDy further allows for dynamics-based categorization as a new layer of information relevant to distinctive mechanisms of action of subfamilies, beyond sequence or structural classifications.

Indexed as

Evolution, MolecularMolecular Dynamics SimulationProtein FoldingSoftwareComputational BiologyMolecular StructureCATHelastic network modelevolutionLeuTPBPProDyprotein dynamicssuperfamilyTIM barrel

Identifiers

PMID31028708
PMCPMC6736388

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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.