Evidence map›Paper›PMID 22532792›Full record

ArticlePLoS computational biology2012

Exploration of multi-state conformational dynamics and underlying global functional landscape of maltose binding protein.

Yong Wang, Chun Tang, Erkang Wang, Jin Wang

Abstract read
In one paragraph

Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

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0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

23 citing papers in PubMed.

  1. Article
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  10. Investigations of the underlying mechanisms of HIF-1α and CITED2 binding to TAZ1.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  11. Article
  12. Article
  13. Binding mechanism and dynamic conformational change of C subunit of PKA with different pathways.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  14. Molecular mechanism of multispecific recognition of Calmodulin through conformational changes.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  15. Article
  16. Article
  17. Article
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  19. Article
  20. Energy landscape views for interplays among folding, binding, and allostery of calmodulin domains.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Yong WangState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin, China.
Chun Tang
Erkang Wang
Jin Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasing number of biological machines have been revealed to have more than two macroscopic states. Quantifying the underlying multiple-basin functional landscape is essential for understanding their functions. However, the present models seem to be insufficient to describe such multiple-state systems. To meet this challenge, we have developed a coarse grained triple-basin structure-based model with implicit ligand. Based on our model, the constructed functional landscape is sufficiently sampled by the brute-force molecular dynamics simulation. We explored maltose-binding protein (MBP) which undergoes large-scale domain motion between open, apo-closed (partially closed) and holo-closed (fully closed) states responding to ligand binding. We revealed an underlying mechanism whereby major induced fit and minor population shift pathways co-exist by quantitative flux analysis. We found that the hinge regions play an important role in the functional dynamics as well as that increases in its flexibility promote population shifts. This finding provides a theoretical explanation of the mechanistic discrepancies in PBP protein family. We also found a functional "backtracking" behavior that favors conformational change. We further explored the underlying folding landscape in response to ligand binding. Consistent with earlier experimental findings, the presence of ligand increases the cooperativity and stability of MBP. This work provides the first study to explore the folding dynamics and functional dynamics under the same theoretical framework using our triple-basin functional model.

Indexed as

Models, ChemicalModels, MolecularComputer SimulationMaltose-Binding ProteinsProtein ConformationProtein Structure, TertiaryMaltose-Binding Proteins

Identifiers

PMID22532792
PMCPMC3330084

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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.