Evidence map›Paper›PMID 26244739›Full record

ArticleBiophysical journal2015

A Practical Implicit Membrane Potential for NMR Structure Calculations of Membrane Proteins.

Ye Tian, Charles D Schwieters, Stanley J Opella, Francesca M Marassi

Abstract read
In one paragraph

Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Xplor-NIH: Better parameters and protocols for NMR protein structure determination.Protein science : a publication of the Protein Society · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Xplor-NIH for molecular structure determination from NMR and other data sources.Protein science : a publication of the Protein Society · 2018
    Article
  12. Article
  13. Article
  14. Article
  15. Applications of NMR to membrane proteins.Archives of biochemistry and biophysics · 2017
    Review
  16. Article
  17. 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

4 authors.

Ye TianSanford-Burnham Medical Research Institute, La Jolla, California; Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California.
Charles D SchwietersDivision of Computational Bioscience, Center for Information Technology, National Institutes of Health, Bethesda, Maryland.
Stanley J OpellaDepartment of Chemistry and Biochemistry, University of California San Diego, La Jolla, California.
Francesca M MarassiSanford-Burnham Medical Research Institute, La Jolla, California. Electronic address: fmarassi@sbmri.org.

Funding

Tumor Microenvironment and Cancer ImmunologyP30CA030199 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI ELENA B PASQUALE · 1985 to 2026
$107.2M
RESOURCE FOR SOLID STATE NMR OF PROTEINSP41EB002031 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI OPELLA, STANLEY J · 2003 to 2018
$16.3M
Biomedical ImagingZIACT000090 · CIT · CENTER FOR INFORMATION TECHNOLOGY · PI TRUS, BENES L · 2009 to 2018
$7.8M
Host recognition by pathogenic yersiniaeR01GM100265 · NIGMS · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI MARASSI, FRANCESCA M · 2012 to 2015
$1.7M
Membrane protein structure in lipido: computational developments.R01GM110658 · NIGMS · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI MARASSI, FRANCESCA M · 2014 to 2015
$702k
NCI NIH HHS P30 CA030199NIBIB NIH HHS P41 EB002031NIGMS NIH HHS R01 GM100265NIGMS NIH HHS R01 GM110658
6 · The paper itself

Abstract

The highly anisotropic environment of the lipid bilayer membrane imposes significant constraints on the structures and functions of membrane proteins. However, NMR structure calculations typically use a simple repulsive potential that neglects the effects of solvation and electrostatics, because explicit atomic representation of the solvent and lipid molecules is computationally expensive and impractical for routine NMR-restrained calculations that start from completely extended polypeptide templates. Here, we describe the extension of a previously described implicit solvation potential, eefxPot, to include a membrane model for NMR-restrained calculations of membrane protein structures in XPLOR-NIH. The key components of eefxPot are an energy term for solvation free energy that works together with other nonbonded energy functions, a dedicated force field for conformational and nonbonded protein interaction parameters, and a membrane function that modulates the solvation free energy and dielectric screening as a function of the atomic distance from the membrane center, relative to the membrane thickness. Initial results obtained for membrane proteins with structures determined experimentally in lipid bilayer membranes show that eefxPot affords significant improvements in structural quality, accuracy, and precision. Calculations with eefxPot are straightforward to implement and can be used to both fold and refine structures, as well as to run unrestrained molecular-dynamics simulations. The potential is entirely compatible with the full range of experimental restraints measured by various techniques. Overall, it provides a useful and practical way to calculate membrane protein structures in a physically realistic environment.

Indexed as

Membrane PotentialsAmino Acid SequenceAnimalsBacterial ProteinsHumansMembrane ProteinsMolecular Sequence DataBacterial ProteinsMembrane Proteins

Identifiers

PMID26244739
PMCPMC4572468

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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.