Evidence map›Paper›PMID 22547793›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Nucleotide-dependent mechanism of Get3 as elucidated from free energy calculations.

Jeff Wereszczynski, J Andrew McCammon

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.6field-weighted citation impact, top 4% of its field
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

32 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
  2. Article
  3. Binding Analysis Using Accelerated Molecular Dynamics Simulations and Future Perspectives.Advances and applications in bioinformatics and chemistry : AABC · 2022
    Review
  4. Review
  5. Article
  6. Review
  7. A protean clamp guides membrane targeting of tail-anchored proteins.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  8. Mechanisms of Tail-Anchored Membrane Protein Targeting and Insertion.Annual review of cell and developmental biology · 2017
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Accelerated molecular dynamics simulations of protein folding.Journal of computational chemistry · 2015
    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

2 authors at 1 institution in 1 country.

Jeff WereszczynskiDepartment of Chemistry and Biochemistry, University of California at San Diego, La Jolla, CA 92093-0365, USA. jmweresz@mccammon.ucsd.edu
J Andrew McCammon
University of California, San Diego · US

Funding

Multiscale Simulations on the Mechanism and Inhibition of the AAA Protein p97F32GM093581 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WERESZCZYNSKI, JEFFERY · 2010 to 2011
$84k
Howard Hughes Medical InstituteNIGMS NIH HHS F32 GM093581NIGMS NIH HHS F32GM093581
6 · The paper itself

Abstract

The unique topology of tail-anchored (TA) proteins precludes them from utilizing the well-studied cotranslational translocation mechanism of most transmembrane proteins, forcing them into a distinct, posttranslational pathway. In yeast, this process is the guided entry of TA-proteins (GET) pathway, which utilizes a combination of cytosolic and transmembrane proteins to identify a TA protein, transfer it, and insert it into the endoplasmic reticulum membrane. At the center of this mechanism is the Get3 homodimer, which transfers a TA protein between the two GET phases by leveraging energy gained in ATP binding and hydrolysis to undergo significant structural changes from "open" to "closed" conformations. We present all-atom molecular dynamics simulations of Get3 in multiple nucleotide states, and through rigorous potential of mean force calculations, compute the free energy landscape of the Get3 opening/closing pathway. Results agree well with experiments on the nucleotide bias of Get3 open and closed structures in the crystallographically observed no-nucleotide, two ATP, and two ADP states, and also reveal their populations in the asymmetric one ATP and one ADP cases. Structures also compare well with the recently observed "semiopen" conformation and suggest that Get3 may sample this state free in solution and not just when bound to Get1, as observed in experiments. Finally, we present evidence for a unique, "wide-open" conformation of Get3. These calculations describe the nucleotide-dependent thermodynamics of Get3 in solution, and improve our understanding of its mechanism in each phase of the GET cycle.

Indexed as

Models, MolecularProtein ConformationAdenosine TriphosphatasesCrystallographyGuanine Nucleotide Exchange FactorsMolecular Dynamics SimulationNucleotidesProtein TransportSaccharomyces cerevisiae ProteinsAdenosine TriphosphatasesGet3 protein, S cerevisiaeGuanine Nucleotide Exchange FactorsNucleotidesSaccharomyces cerevisiae Proteins

Identifiers

PMID22547793
PMCPMC3356667
OpenAlexW1989096170

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.