Evidence map›Paper›PMID 26860422›Full record

ArticleJournal of the American Chemical Society2016

Outer Membrane Protein Folding and Topology from a Computational Transfer Free Energy Scale.

Meishan Lin, Dennis Gessmann, Hammad Naveed, Jie Liang

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2016. 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
3.0field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Engineering a HyperstableJournal of the American Chemical Society · 2022
    Article
  3. Local Bilayer Hydrophobicity Modulates Membrane Protein Stability.Journal of the American Chemical Society · 2021
    Article
  4. Article
  5. GeTFEP: A general transfer free energy profile of transmembrane proteins.Protein science : a publication of the Protein Society · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. High-resolution structure prediction ofProceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Review
  13. Outer membrane protein design.Current opinion in structural biology · 2017
    Review
  14. Article
  15. Article
  16. Article
  17. Challenges in structural approaches to cell modeling.Journal of molecular biology · 2016
    Review
  18. 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 at 1 institution in 1 country.

Meishan LinDepartment of Bioengineering, University of Illinois at Chicago , Chicago, Illinois 60607, United States.
Dennis GessmannDepartment of Bioengineering, University of Illinois at Chicago , Chicago, Illinois 60607, United States.
Hammad NaveedDepartment of Bioengineering, University of Illinois at Chicago , Chicago, Illinois 60607, United States.
Jie LiangDepartment of Bioengineering, University of Illinois at Chicago , Chicago, Illinois 60607, United States.
University of Illinois Chicago · US

Funding

Computational assembly of beta-barrel membrane proteinsR01GM079804 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIANG, JIE · 2007 to 2016
$2.8M
NIGMS NIH HHS GM079804NIGMS NIH HHS R01 GM079804
6 · The paper itself

Abstract

Knowledge of the transfer free energy of amino acids from aqueous solution to a lipid bilayer is essential for understanding membrane protein folding and for predicting membrane protein structure. Here we report a computational approach that can calculate the folding free energy of the transmembrane region of outer membrane β-barrel proteins (OMPs) by combining an empirical energy function with a reduced discrete state space model. We quantitatively analyzed the transfer free energies of 20 amino acid residues at the center of the lipid bilayer of OmpLA. Our results are in excellent agreement with the experimentally derived hydrophobicity scales. We further exhaustively calculated the transfer free energies of 20 amino acids at all positions in the TM region of OmpLA. We found that the asymmetry of the Gram-negative bacterial outer membrane as well as the TM residues of an OMP determine its functional fold in vivo. Our results suggest that the folding process of an OMP is driven by the lipid-facing residues in its hydrophobic core, and its NC-IN topology is determined by the differential stabilities of OMPs in the asymmetrical outer membrane. The folding free energy is further reduced by lipid A and assisted by general depth-dependent cooperativities that exist between polar and ionizable residues. Moreover, context-dependency of transfer free energies at specific positions in OmpLA predict regions important for protein function as well as structural anomalies. Our computational approach is fast, efficient and applicable to any OMP.

Indexed as

Models, ChemicalAmino AcidsBacterial Outer Membrane ProteinsHydrophobic and Hydrophilic InteractionsModels, MolecularPhospholipases A1Protein FoldingStructure-Activity RelationshipThermodynamicsAmino AcidsBacterial Outer Membrane Proteinsouter membrane phospholipase APhospholipases A1

Identifiers

PMID26860422
PMCPMC4881743
OpenAlexW2283046745

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.