Evidence map›Paper›PMID 25888118›Full record

ArticleBMC bioinformatics2015

CHEXVIS: a tool for molecular channel extraction and visualization.

Talha Bin Masood, Sankaran Sandhya, Nagasuma Chandra, Vijay Natarajan

Abstract read
In one paragraph

Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Structure of a Tc holotoxin pore provides insights into the translocation mechanism.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  14. Article
  15. Article
  16. Cryo-EM structure of the ClpXP protein degradation machinery.Nature structural & molecular biology · 2019
    Article
  17. Article
  18. Article
  19. Article
  20. 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.

Talha Bin MasoodDepartment of Computer Science and Automation, Indian Institute of Science, Bangalore, 560012, India. tbmasood@csa.iisc.ernet.in.
Sankaran SandhyaDepartment of Biochemistry, Indian Institute of Science, Bangalore, 560012, India. sandhya@mbu.iisc.ernet.in.
Nagasuma ChandraDepartment of Biochemistry, Indian Institute of Science, Bangalore, 560012, India. nchandra@biochem.iisc.ernet.in.
Vijay NatarajanDepartment of Computer Science and Automation, Indian Institute of Science, Bangalore, 560012, India. vijayn@csa.iisc.ernet.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding channel structures that lead to active sites or traverse the molecule is important in the study of molecular functions such as ion, ligand, and small molecule transport. Efficient methods for extracting, storing, and analyzing protein channels are required to support such studies. Further, there is a need for an integrated framework that supports computation of the channels, interactive exploration of their structure, and detailed visual analysis of their properties.

resultsWe describe a method for molecular channel extraction based on the alpha complex representation. The method computes geometrically feasible channels, stores both the volume occupied by the channel and its centerline in a unified representation, and reports significant channels. The representation also supports efficient computation of channel profiles that help understand channel properties. We describe methods for effective visualization of the channels and their profiles. These methods and the visual analysis framework are implemented in a software tool, CHEXVIS. We apply the method on a number of known channel containing proteins to extract pore features. Results from these experiments on several proteins show that CHEXVIS performance is comparable to, and in some cases, better than existing channel extraction techniques. Using several case studies, we demonstrate how CHEXVIS can be used to study channels, extract their properties and gain insights into molecular function.

conclusionCHEXVIS supports the visual exploration of multiple channels together with their geometric and physico-chemical properties thereby enabling the understanding of the basic biology of transport through protein channels. The CHEXVIS web-server is freely available at http://vgl.serc.iisc.ernet.in/chexvis/ . The web-server is supported on all modern browsers with latest Java plug-in.

Indexed as

Computer GraphicsSoftwareComputational BiologyHumansImaging, Three-DimensionalIon ChannelsMembrane ProteinsModels, MolecularProtein ConformationStatic ElectricitySubstrate SpecificityUser-Computer InterfaceIon ChannelsMembrane Proteins

Identifiers

PMID25888118
PMCPMC4411761

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.