Evidence map›Paper›PMID 29360779›Full record

ArticleMolecules (Basel, Switzerland)2018

Analytical Approaches to Improve Accuracy in Solving the Protein Topology Problem.

Kamal Al Nasr, Feras Yousef, Ruba Jebril, Christopher Jones

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Kamal Al NasrDepartment of Computer Science, Tennessee State University, Nashville, TN 37209, USA. kalnasr@tnstate.edu.
Feras YousefDepartment of Mathematics, The University of Jordan, Amman 11942, Jordan. fyousef@ju.edu.jo.
Ruba JebrilDepartment of Computer Science, Tennessee State University, Nashville, TN 37209, USA. rjebril@my.tnstate.edu.
Christopher JonesDepartment of Computer Science, Tennessee State University, Nashville, TN 37209, USA. cjone141@my.tnstate.edu.

Funding

A Computational Tool for Modeling of Protein Macromolecules Guided by Cryo-Electron Microscopy DataR15GM126509 · NIGMS · TENNESSEE STATE UNIVERSITY · PI AL NASR, KAMAL, CHEN, WEI · 2017 to 2017
$399k
NIGMS NIH HHS R15 GM126509
6 · The paper itself

Abstract

To take advantage of recent advances in genomics and proteomics it is critical that the three-dimensional physical structure of biological macromolecules be determined. Cryo-Electron Microscopy (cryo-EM) is a promising and improving method for obtaining this data, however resolution is often not sufficient to directly determine the atomic scale structure. Despite this, information for secondary structure locations is detectable. De novo modeling is a computational approach to modeling these macromolecular structures based on cryo-EM derived data. During de novo modeling a mapping between detected secondary structures and the underlying amino acid sequence must be identified. DP-TOSS (

Indexed as

Models, MolecularProtein ConformationAlgorithmsComputational BiologyCryoelectron MicroscopyProteinsStructure-Activity RelationshipProteinsanalysiscryo-electron microscopygeometrypotential energyprotein modelingprotein secondary structure elementsprotein topology

Identifiers

PMID29360779
PMCPMC6017786

What OpenQuestion holds

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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.