Evidence map›Paper›PMID 27513917›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2017

OMPcontact: An Outer Membrane Protein Inter-Barrel Residue Contact Prediction Method.

Li Zhang, Han Wang, Lun Yan, Lingtao Su, Dong Xu

Abstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Applications of sequence coevolution in membrane protein biochemistry.Biochimica et biophysica acta. Biomembranes · 2018
    Review
  3. Special Protein Molecules Computational Identification.International journal of molecular sciences · 2018
    Article
  4. Article
  5. 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

5 authors.

Li Zhang1 School of Computer Science and Technology, Jilin University , Changchun, China .
Han Wang2 School of Computer Science and Information Technology, Northeast Normal University , Changchun, China .
Lun Yan1 School of Computer Science and Technology, Jilin University , Changchun, China .
Lingtao Su1 School of Computer Science and Technology, Jilin University , Changchun, China .
Dong Xu3 Department of Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri , Columbia, Missouri, U.S.A.

Funding

Development of MUFOLD for Building High-Accuracy Protein Structure ModelsR01GM100701 · NIGMS · UNIVERSITY OF MISSOURI-COLUMBIA · PI XU, DONG · 2012 to 2016
$1.4M
NIGMS NIH HHS R01 GM100701
6 · The paper itself

Abstract

In the two transmembrane protein types, outer membrane proteins (OMPs) perform diverse important biochemical functions, including substrate transport and passive nutrient uptake and intake. Hence their 3D structures are expected to reveal these functions. Because experimental structures are scarce, predicted 3D structures are more adapted to OMP research instead, and the inter-barrel residue contact is becoming one of the most remarkable features, improving prediction accuracy by describing the structural information of OMPs. To predict OMP structures accurately, we explored an OMP inter-barrel residue contact prediction method: OMPcontact. Multiple OMP-specific features were integrated in the method, including residue evolutionary covariation, topology-based transmembrane segment relative residue position, OMP lipid layer accessibility, and residue evolution conservation. These features describe the properties of a residue pair in different respects: sequential, structural, evolutionary, and biochemical. Within a 3-residues slide window, a Support Vector Machine (SVM) could accurately determinate the inter-barrel contact residue pair using above features. A 5-fold cross-valuation process was applied in testing the OMPcontact performance against a non-redundant OMP set with 75 samples inside. The tests compared four evolutionary covariation methods and screen analyzed the adaptive ones for inter-barrel contact prediction. The results showed our method not only efficiently realized the prediction, but also scored the possibility for residue pairs reliably. This is expected to improve OMP tertiary structure prediction. Therefore, OMPcontact will be helpful in compiling a structural census of outer membrane protein.

Indexed as

Protein Interaction Domains and MotifsSupport Vector MachineBacterial Outer Membrane ProteinsBiological TransportDatabases, ProteinMembrane LipidsProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandProtein Structure, TertiaryBacterial Outer Membrane ProteinsMembrane Lipidscontact predictionevolutionary covariationouter membrane proteinstructure prediction

Identifiers

PMID27513917
PMCPMC5346958

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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.