Evidence map›Paper›PMID 24451004›Full record

ArticleThe journal of physical chemistry. B2014

Partitioning of amino acids into a model membrane: capturing the interface.

Taras V Pogorelov, Josh V Vermaas, Mark J Arcario, Emad Tajkhorshid

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. CaThe journal of physical chemistry. B · 2025
    Article
  4. Article
  5. Identifying and quantifying membrane interactions of the protein human cis-prenyltransferase.Protein science : a publication of the Protein Society · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Computer simulations of protein-membrane systems.Progress in molecular biology and translational science · 2020
    Article
  17. Article
  18. A network of phosphatidylinositol 4,5-bisphosphate binding sites regulates gating of the CaProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  19. Review
  20. 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

4 authors.

Taras V PogorelovCenter for Biophysics and Computational Biology, School of Chemical Sciences, Departments of Chemistry and Biochemistry, College of Medicine, and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Josh V Vermaas
Mark J Arcario
Emad Tajkhorshid

Funding

Synthetic Antigen Binder CoreU54GM087519 · NIGMS · UNIVERSITY OF CHICAGO · PI ROUX, BENOIT · 2010 to 2017
$31.9M
WHOLE CELL SIMULATIONP41GM104601 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI TAJKHORSHID, EMAD · 2012 to 2021
$19.0M
Molecular Mechanisms of Active Transport Across Cellular MembranesR01GM086749 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI TAJKHORSHID, EMAD · 2009 to 2013
$1.5M
Understanding the role of phospholipids in integrin signalingR01GM101048 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SLIGAR, STEPHEN G. · 2012 to 2015
$1.1M
NIGMS NIH HHS P41 GM104601NIGMS NIH HHS P41-GM104601NIGMS NIH HHS R01 GM086749NIGMS NIH HHS R01-GM086749NIGMS NIH HHS R01 GM101048NIGMS NIH HHS R01-GM101048NIGMS NIH HHS U54-GM087519
6 · The paper itself

Abstract

Energetics of protein side chain partitioning between aqueous solution and cellular membranes is of fundamental importance for correctly capturing the membrane binding and specific protein-lipid interactions of peripheral membrane proteins. We recently reported a highly mobile membrane mimetic (HMMM) model that accelerates lipid dynamics by modeling the membrane interior partially as a fluid organic solvent while retaining a literal description of the lipid head groups and the beginning of the tails. While the HMMM has been successfully applied to study spontaneous insertion of a number of peripheral proteins into membranes, a quantitative characterization of the energetics of membrane-protein interactions in HMMM membranes has not been performed. We report here the free energy profiles for partitioning of 10 protein side chain analogues into a HMMM membrane. In the interfacial and headgroup regions of the membrane, the side chain free energy profiles show excellent agreement with profiles previously reported for conventional membranes with full-tail lipids. In regions where the organic solvent is prevalent, the increased dipole and fluidity of the solvent generally result in a less accurate description, most notably overstabilization of aromatic and polar amino acids. As an additional measure of the ability of the HMMM model to describe membrane-protein interactions, the water-to-membrane interface transfer energies were analyzed and found to be in agreement with the previously reported experimental and computational hydrophobicity scales. We discuss strengths and weaknesses of HMMM in describing protein-membrane interactions as well as further development of model membranes.

Indexed as

Molecular Dynamics SimulationAmino AcidsCell MembraneHydrophobic and Hydrophilic InteractionsMembranes, ArtificialProtein ConformationProteinsThermodynamicsAmino AcidsMembranes, ArtificialProteins

Identifiers

PMID24451004
PMCPMC3983343

What OpenQuestion holds

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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.