Evidence map›Paper›PMID 19381265›Full record

ArticlePLoS computational biology2009

Allosteric transitions of supramolecular systems explored by network models: application to chaperonin GroEL.

Zheng Yang, Peter Májek, Ivet Bahar

Abstract read
In one paragraph

Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Protein dynamics developments for the large scale and cryoEM: case study of ProDy 2.0.Acta crystallographica. Section D, Structural biology · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Integrated Computational Approaches and Tools forAllosteric Drug Discovery.International journal of molecular sciences · 2020
    Review
  12. Simple mechanics of protein machines.Journal of the Royal Society, Interface · 2019
    Article
  13. Article
  14. Review
  15. Review
  16. Designed Elastic Networks: Models of Complex Protein Machinery.International journal of molecular sciences · 2018
    Review
  17. Shared dynamics of LeuT superfamily members and allosteric differentiation by structural irregularities and multimerization.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    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

3 authors.

Zheng YangDepartment of Computational Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Peter Májek
Ivet Bahar

Funding

Structural Dynamics of Biomolecular SystemsR01GM086238 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET · 2009 to 2012
$1.3M
NIGMS NIH HHS 5R01GM086238-02NIGMS NIH HHS R01 GM086238
6 · The paper itself

Abstract

Identification of pathways involved in the structural transitions of biomolecular systems is often complicated by the transient nature of the conformations visited across energy barriers and the multiplicity of paths accessible in the multidimensional energy landscape. This task becomes even more challenging in exploring molecular systems on the order of megadaltons. Coarse-grained models that lend themselves to analytical solutions appear to be the only possible means of approaching such cases. Motivated by the utility of elastic network models for describing the collective dynamics of biomolecular systems and by the growing theoretical and experimental evidence in support of the intrinsic accessibility of functional substates, we introduce a new method, adaptive anisotropic network model (aANM), for exploring functional transitions. Application to bacterial chaperonin GroEL and comparisons with experimental data, results from action minimization algorithm, and previous simulations support the utility of aANM as a computationally efficient, yet physically plausible, tool for unraveling potential transition pathways sampled by large complexes/assemblies. An important outcome is the assessment of the critical inter-residue interactions formed/broken near the transition state(s), most of which involve conserved residues.

Indexed as

Models, ChemicalModels, MolecularChaperonin 60Computer SimulationIsomerismMultiprotein ComplexesProtein ConformationChaperonin 60Multiprotein Complexes

Identifiers

PMID19381265
PMCPMC2664929

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.