Evidence map›Paper›PMID 28158457›Full record

ArticleBioinformatics (Oxford, England)2017

Efficient computation of transfer free energies of amino acids in beta-barrel membrane proteins.

Wei Tian, Meishan Lin, Hammad Naveed, Jie Liang

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. GeTFEP: A general transfer free energy profile of transmembrane proteins.Protein science : a publication of the Protein Society · 2020
    Article
  2. High-resolution structure prediction ofProceedings of the National Academy of Sciences of the United States of America · 2018
    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 2 institutions in 1 country.

Wei TianRichard and Loan Hill Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA.
Meishan LinRichard and Loan Hill Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA.
Hammad NaveedToyota Technological Institute at Chicago, Chicago, IL, USA.
Jie LiangRichard and Loan Hill Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, USA.
University of Illinois Chicago · USToyota Technological Institute at 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 R01 GM079804
6 · The paper itself

Abstract

motivationTransmembrane beta-barrel proteins (TMBs) serve a multitude of essential cellular functions in Gram-negative bacteria, mitochondria and chloroplasts. Transfer free energies (TFEs) of residues in the transmembrane (TM) region provides fundamental quantifications of thermodynamic stabilities of TMBs, which are important for the folding and the membrane insertion processes, and may help in understanding the structure-function relationship. However, experimental measurement of TFEs of TMBs is challenging. Although a recent computational method can be used to calculate TFEs, the results of which are in excellent agreement with experimentally measured values, this method does not scale up, and is limited to small TMBs.

resultsWe have developed an approximation method that calculates TFEs of TM residues in TMBs accurately, with which depth-dependent transfer free energy profiles can be derived. Our results are in excellent agreement with experimental measurements. This method is efficient and applicable to all bacterial TMBs regardless of the size of the protein. AVAILABILITY AND IMPLEMENTATION: An online webserver is available at http://tanto.bioe.uic.edu/tmb-tfe . CONTACT: : jliang@uic.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

ThermodynamicsAlgorithmsBacterial ProteinsComputational BiologyGram-Negative BacteriaMembrane ProteinsProtein Structure, SecondaryBacterial ProteinsMembrane Proteins

Identifiers

PMID28158457
PMCPMC5860226
OpenAlexW2585550865

What OpenQuestion holds

Textmetadata
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.