CHEXVIS: a tool for molecular channel extraction and visualization. Issue 1 (December 2015)
- Record Type:
- Journal Article
- Title:
- CHEXVIS: a tool for molecular channel extraction and visualization. Issue 1 (December 2015)
- Main Title:
- CHEXVIS: a tool for molecular channel extraction and visualization
- Authors:
- Masood, Talha
Sandhya, Sankaran
Chandra, Nagasuma
Natarajan, Vijay - Abstract:
- Abstract Background Understanding 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. Results We 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 thatChExVis performance is comparable to, and in some cases, better than existing channel extraction techniques. Using several case studies, we demonstrate howChExVis can be used to study channels, extract their properties and gain insights into molecularAbstract Background Understanding 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. Results We 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 thatChExVis performance is comparable to, and in some cases, better than existing channel extraction techniques. Using several case studies, we demonstrate howChExVis can be used to study channels, extract their properties and gain insights into molecular function. Conclusion ChExVis 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. TheChExVis web-server is freely available athttp://vgl.serc.iisc.ernet.in/chexvis/ . The web-server is supported on all modern browsers with latest Java plug-in. … (more)
- Is Part Of:
- BMC bioinformatics. Volume 16:Issue 1(2015)
- Journal:
- BMC bioinformatics
- Issue:
- Volume 16:Issue 1(2015)
- Issue Display:
- Volume 16, Issue 1 (2015)
- Year:
- 2015
- Volume:
- 16
- Issue:
- 1
- Issue Sort Value:
- 2015-0016-0001-0000
- Page Start:
- 1
- Page End:
- 19
- Publication Date:
- 2015-12
- Subjects:
- Biomolecular channels -- Ion channels -- Pores -- Transmembrane pores -- Alpha complex -- Visualization
Bioinformatics -- Periodicals
Computational biology -- Periodicals
570.285 - Journal URLs:
- http://www.biomedcentral.com/bmcbioinformatics/ ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=13 ↗
http://link.springer.com/ ↗ - DOI:
- 10.1186/s12859-015-0545-9 ↗
- Languages:
- English
- ISSNs:
- 1471-2105
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - Digital store
British Library HMNTS - ELD Digital store - Ingest File:
- 9957.xml