Evidence map›Paper›PMID 29378944›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

High-resolution structure prediction of

Wei Tian, Meishan Lin, Ke Tang, Jie Liang, Hammad Naveed

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. General features of transmembrane beta barrels from a large database.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Article
  4. Computational prediction of extracellular loops of the Por39 outer membrane porin ofComputational and structural biotechnology journal · 2023
    Article
  5. 3D-BMPP: 3D Beta-Barrel Membrane Protein Predictor.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. Model of Environmental Membrane Field for Transmembrane Proteins.International journal of molecular sciences · 2021
    Article
  10. Article
  11. GeTFEP: A general transfer free energy profile of transmembrane proteins.Protein science : a publication of the Protein Society · 2020
    Article
  12. Article
  13. 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.

Wei TianDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607.
Meishan LinDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607.
Ke TangDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607.
Jie LiangDepartment of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607; hammad.naveed@ttic.edu jliang@uic.edu.ORCID 0000-0002-2773-6427
Hammad NaveedDepartment of Computer Science, Toyota Technological Institute at Chicago, Chicago, IL, 60637 hammad.naveed@ttic.edu jliang@uic.edu.

Funding

Computational assembly of beta-barrel membrane proteinsR01GM079804 · NIGMS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIANG, JIE · 2007 to 2016
$2.8M
Collaborative Research: Mathematical Framework for Biomolecules: From Protein to RNA to ChromosomesR01GM126558 · NIGMS · FLORIDA STATE UNIVERSITY · PI ZHANG, JINFENG · 2017 to 2021
$1.5M
Database and Tools for Functional Inference and Mechanistic Insight into Somatic Cancer MutationsR01CA204962 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIANG, JIE, TSENG, YAN-YUAN · 2017 to 2019
$988k
Constructing Ensembles of 3D Structures of Igh Locus and Predicting Novel Chromosomal InteractionsR21AI126308 · NIAID · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LIANG, JIE · 2017 to 2018
$421k
NCI NIH HHS R01 CA204962NIAID NIH HHS R21 AI126308NIGMS NIH HHS R01 GM079804NIGMS NIH HHS R01 GM126558
6 · The paper itself

Abstract

[Formula: see text]-Barrel membrane proteins ([Formula: see text]MPs) play important roles, but knowledge of their structures is limited. We have developed a method to predict their 3D structures. We predict strand registers and construct transmembrane (TM) domains of [Formula: see text]MPs accurately, including proteins for which no prediction has been attempted before. Our method also accurately predicts structures from protein families with a limited number of sequences and proteins with novel folds. An average main-chain rmsd of 3.48 Å is achieved between predicted and experimentally resolved structures of TM domains, which is a significant improvement ([Formula: see text]3 Å) over a recent study. For [Formula: see text]MPs with NMR structures, the deviation between predictions and experimentally solved structures is similar to the difference among the NMR structures, indicating excellent prediction accuracy. Moreover, we can now accurately model the extended [Formula: see text]-barrels and loops in non-TM domains, increasing the overall coverage of structure prediction by [Formula: see text]%. Our method is general and can be applied to genome-wide structural prediction of [Formula: see text]MPs.

Indexed as

Models, MolecularFimbriae ProteinsMembrane ProteinsProtein Conformation, beta-StrandProtein DomainsVoltage-Dependent Anion ChannelsFimbriae ProteinsfimD protein, bacteriaMembrane ProteinsVoltage-Dependent Anion ChannelsCovariationloop predictionstrand registerstructure predictionβ-barrel membrane proteins

Identifiers

PMID29378944
PMCPMC5816179

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.