Evidence map›Paper›PMID 28445748›Full record

ArticleBiophysical journal2017

Directional Force Originating from ATP Hydrolysis Drives the GroEL Conformational Change.

Jie Liu, Kannan Sankar, Yuan Wang, Kejue Jia, Robert L Jernigan

Abstract readVideo-Audio Media
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Low-Frequency Harmonic Perturbations Drive Protein Conformational Changes.International journal of molecular sciences · 2021
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. 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

5 authors.

Jie LiuBioinformatics and Computational Biology Interdepartmental Graduate Program, Iowa State University, Ames, Iowa; Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa.
Kannan SankarBioinformatics and Computational Biology Interdepartmental Graduate Program, Iowa State University, Ames, Iowa; Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa.
Yuan WangBioinformatics and Computational Biology Interdepartmental Graduate Program, Iowa State University, Ames, Iowa; Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa.
Kejue JiaBioinformatics and Computational Biology Interdepartmental Graduate Program, Iowa State University, Ames, Iowa; Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa.
Robert L JerniganBioinformatics and Computational Biology Interdepartmental Graduate Program, Iowa State University, Ames, Iowa; Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, Iowa; Laurence H. Baker Center for Bioinformatics and Biological Statistics, Iowa State University, Ames, Iowa. Electronic address: jernigan@iastate.edu.

Funding

Coarse-Grained Models of ProteinsR01GM072014 · NIGMS · IOWA STATE UNIVERSITY · PI JERNIGAN, ROBERT L · 2004 to 2012
$2.3M
NIGMS NIH HHS R01 GM072014
6 · The paper itself

Abstract

Protein functional mechanisms usually require conformational changes, and often there are known structures for the different conformational states. However, usually neither the origin of the driving force nor the underlying pathways for these conformational transitions is known. Exothermic chemical reactions may be an important source of forces that drive conformational changes. Here we investigate this type of force originating from ATP hydrolysis in the chaperonin GroEL, by applying forces originating from the chemical reaction. Specifically, we apply directed forces to drive the GroEL conformational changes and learn that there is a highly specific direction for applied forces to drive the closed form to the open form. For this purpose, we utilize coarse-grained elastic network models. Principal component analysis on 38 GroEL experimental structures yields the most important motions, and these are used in structural interpolation for the construction of a coarse-grained free energy landscape. In addition, we investigate a more random application of forces with a Monte Carlo method and demonstrate pathways for the closed-open conformational transition in both directions by computing trajectories that are shown upon the free energy landscape. Initial root mean square deviation (RMSD) between the open and closed forms of the subunit is 14.7 Å and final forms from our simulations reach an average RMSD of 3.6 Å from the target forms, closely matching the level of resolution of the coarse-grained model.

Indexed as

Adenosine TriphosphateBacterial ProteinsChaperonin 60Computer SimulationEscherichia coliHydrolysisModels, ChemicalModels, MolecularMonte Carlo MethodParacoccus denitrificansPrincipal Component AnalysisProtein ConformationThermus thermophilusAdenosine TriphosphateBacterial ProteinsChaperonin 60

Identifiers

PMID28445748
PMCPMC5406283

What OpenQuestion holds

Textmetadata
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.