Evidence map›Paper›PMID 26679426›Full record

ArticleBiochimica et biophysica acta2016

Molecular dynamics simulation strategies for protein-micelle complexes.

Xi Cheng, Jin-Kyoung Kim, Yangmee Kim, James U Bowie, Wonpil Im

Open access · greenAbstract read
In one paragraph

Article in Biochimica et biophysica acta, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. CHARMM-GUI 10 years for biomolecular modeling and simulation.Journal of computational chemistry · 2017
    Review
  8. 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

5 authors at 2 institutions in 2 countries.

Xi ChengDepartment of Molecular Biosciences and Center for Computational Biology, The University of Kansas, 2030 Becker Drive, Lawrence, KS 66047, USA.
Jin-Kyoung KimDepartment of Bioscience and Biotechnology, Konkuk University, Seoul 143-701, Korea.
Yangmee KimDepartment of Bioscience and Biotechnology, Konkuk University, Seoul 143-701, Korea.
James U BowieDepartment of Chemistry and Biochemistry, UCLA, 611 Charles E. Young Dr. E, Los Angeles, CA 90095-1570, USA.
Wonpil ImDepartment of Molecular Biosciences and Center for Computational Biology, The University of Kansas, 2030 Becker Drive, Lawrence, KS 66047, USA. Electronic address: wonpil@ku.edu.
Konkuk University · KRUniversity of Kansas · US

Funding

Membrane Protein StabilityR01GM063919 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BOWIE, JAMES U · 2001 to 2021
$5.6M
NIGMS NIH HHS R01 GM063919
6 · The paper itself

Abstract

The structure and stability of membrane proteins can vary widely in different detergents and this variability has great practical consequences for working with membrane proteins. Nevertheless, the mechanisms that operate to alter the behavior of proteins in micelles are poorly understood and not predictable. Atomic simulations could provide considerable insight into these mechanisms. Building protein-micelle complexes for simulation is fraught with uncertainty, however, in part because it is often unknown how many detergent molecules are present in the complex. Here, we describe several convenient ways to employ Micelle Builder in CHARMM-GUI to rapidly construct protein-micelle complexes and performed simulations of the isolated voltage-sensor domain of voltage-dependent potassium-selective channel and an antimicrobial peptide papiliocin with varying numbers of detergents. We found that once the detergent number exceeds a threshold, protein-detergent interactions change very little and remain very consistent with experimental observations. Our results provide a platform for future studies of the interplays between protein structure and detergent properties at the atomic level. This article is part of a Special Issue entitled: Membrane Proteins edited by J.C. Gumbart and Sergei Noskov.

Indexed as

MicellesMolecular Dynamics SimulationBiomimetic MaterialsDetergentsMembrane LipidsMembrane ProteinsModels, ChemicalProtein ConformationSoftwareStructure-Activity RelationshipDetergentsMembrane LipidsMembrane ProteinsMicellesPapiliocinProtein–detergent interactionsVoltage-dependent potassium-selective channel

Identifiers

PMID26679426
PMCPMC4877248
OpenAlexW2192953902

What OpenQuestion holds

Textmetadata
LicenceTDM
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.