Evidence map›Paper›PMID 21826755›Full record

ReviewProtein science : a publication of the Protein Society2011

Pre-existing soft modes of motion uniquely defined by native contact topology facilitate ligand binding to proteins.

Lidio Meireles, Mert Gur, Ahmet Bakan, Ivet Bahar

Abstract readReview
In one paragraph

Review in Protein science : a publication of the Protein Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Article
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  10. Review
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  17. Near-field THz micropolarimetry.Optics express · 2019
    Article
  18. Article
  19. Review
  20. Allostery in Its Many Disguises: From Theory to Applications.Structure (London, England : 1993) · 2019
    Review
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.

Lidio MeirelesDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA.
Mert Gur
Ahmet Bakan
Ivet Bahar

Funding

Training and EducationU19AI068021 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GREENBERGER, JOEL S · 2005 to 2019
$44.4M
Bridging Sequence Patterns and Structural DynamicsR01LM007994 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET · 2004 to 2011
$3.0M
NIAID NIH HHS 2U19AI068021-06NIAID NIH HHS U19 AI068021NLM NIH HHS 5R01LM007994-07
6 · The paper itself

Abstract

Modeling protein flexibility constitutes a major challenge in accurate prediction of protein-ligand and protein-protein interactions in docking simulations. The lack of a reliable method for predicting the conformational changes relevant to substrate binding prevents the productive application of computational docking to proteins that undergo large structural rearrangements. Here, we examine how coarse-grained normal mode analysis has been advantageously applied to modeling protein flexibility associated with ligand binding. First, we highlight recent studies that have shown that there is a close agreement between the large-scale collective motions of proteins predicted by elastic network models and the structural changes experimentally observed upon ligand binding. Then, we discuss studies that have exploited the predicted soft modes in docking simulations. Two general strategies are noted: pregeneration of conformational ensembles that are then utilized as input for standard fixed-backbone docking and protein structure deformation along normal modes concurrent to docking. These studies show that the structural changes apparently "induced" upon ligand binding occur selectively along the soft modes accessible to the protein prior to ligand binding. They further suggest that proteins offer suitable means of accommodating/facilitating the recognition and binding of their ligand, presumably acquired by evolutionary selection of the suitable three-dimensional structure.

Indexed as

Molecular Dynamics SimulationAnimalsHumansLigandsModels, BiologicalProtein BindingProtein ConformationProteinsLigandsProteins

Identifiers

PMID21826755
PMCPMC3218357

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.