Evidence map›Paper›PMID 23224861›Full record

ArticleJournal of computational chemistry2013

Membrane protein native state discrimination by implicit membrane models.

Olga Yuzlenko, Themis Lazaridis

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Diverse Scientific Benchmarks for Implicit Membrane Energy Functions.Journal of chemical theory and computation · 2021
    Article
  4. Article
  5. Article
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  7. Article
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  11. Review
  12. Review
  13. Article
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  15. Article
  16. Article
  17. Article
  18. Computational protein structure refinement: Almost there, yet still so far to go.Wiley interdisciplinary reviews. Computational molecular science
    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.

Olga YuzlenkoDepartment of Chemistry, City College of the City University of New York, 160 Convent Avenue, New York, New York 10031, USA.
Themis Lazaridis

Funding

TNC FUNCTION IN APOPTOTIC ANTIGEN DRIVEN AUTOIMMUNITYG12RR003060 · NCRR · CITY COLLEGE OF NEW YORK · PI WALLMAN, JOSHUA · 1985 to 2011
$26.1M
Cellular/Molecular Basis of Development: Research CenterG12MD007603 · NIMHD · CITY COLLEGE OF NEW YORK · PI PEZZANO, MARK · 2012 to 2017
$11.5M
Modeling Membrane Binding and Permeabilization by Antimicrobial PeptidesSC1AI084899 · NIAID · CITY COLLEGE OF NEW YORK · PI LAZARIDIS, THEMIS · 2009 to 2012
$1.0M
NCRR NIH HHS 2G12RR03060-26A1NCRR NIH HHS G12 RR003060NIAID NIH HHS SC1 AI084899NIGMS NIH HHS SC1 GM087190NIMHD NIH HHS 8G12MD007603-27NIMHD NIH HHS G12 MD007603
6 · The paper itself

Abstract

Four implicit membrane models [IMM1, generalized Born (GB)-surface area-implicit membrane (GBSAIM), GB with a simple switching (GBSW), and heterogeneous dielectric GB (HDGB)] were tested for their ability to discriminate the native conformation of five membrane proteins from 450 decoys generated by the Rosetta-Membrane program. The energy ranking of the native state and Z-scores were used to assess the performance of the models. The effect of membrane thickness was examined and was found to be substantial. Quite satisfactory discrimination was achieved with the all-atom IMM1 and GBSW models at 25.4 Å thickness and with the HDGB model at 28.5 Å thickness. The energy components by themselves were not discriminative. Both van der Waals and electrostatic interactions contributed to native state discrimination, to a different extent in each model. Computational efficiency of the models decreased in the order: extended-atom IMM1 > all-atom IMM1 > GBSAIM > GBSW > HDGB. These results encourage the further development and use of implicit membrane models for membrane protein structure prediction.

Indexed as

Models, MolecularAnimalsBacteriaBacteriorhodopsinsCell MembraneComputer SimulationHumansMembrane Transport ProteinsProtein FoldingProtein Structure, TertiaryRhodopsinStatic ElectricitySuccinate DehydrogenaseThermodynamicsVacuolar Proton-Translocating ATPasesBacteriorhodopsinsfumarate reductase complexlactose permeaseMembrane Transport ProteinsRhodopsinSuccinate DehydrogenaseVacuolar Proton-Translocating ATPases

Identifiers

PMID23224861
PMCPMC3584241

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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.