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CHEXVIS: a tool for molecular channel extraction and visualization
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 s...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411761/ https://www.ncbi.nlm.nih.gov/pubmed/25888118 http://dx.doi.org/10.1186/s12859-015-0545-9 |
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author | Masood, Talha Bin Sandhya, Sankaran Chandra, Nagasuma Natarajan, Vijay |
author_facet | Masood, Talha Bin Sandhya, Sankaran Chandra, Nagasuma Natarajan, Vijay |
author_sort | Masood, Talha Bin |
collection | PubMed |
description | 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 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. 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. 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0545-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4411761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44117612015-04-29 CHEXVIS: a tool for molecular channel extraction and visualization Masood, Talha Bin Sandhya, Sankaran Chandra, Nagasuma Natarajan, Vijay BMC Bioinformatics Methodology Article 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 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. 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. 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-015-0545-9) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-16 /pmc/articles/PMC4411761/ /pubmed/25888118 http://dx.doi.org/10.1186/s12859-015-0545-9 Text en © Masood et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Article Masood, Talha Bin Sandhya, Sankaran Chandra, Nagasuma Natarajan, Vijay CHEXVIS: a tool for molecular channel extraction and visualization |
title | CHEXVIS: a tool for molecular channel extraction and visualization |
title_full | CHEXVIS: a tool for molecular channel extraction and visualization |
title_fullStr | CHEXVIS: a tool for molecular channel extraction and visualization |
title_full_unstemmed | CHEXVIS: a tool for molecular channel extraction and visualization |
title_short | CHEXVIS: a tool for molecular channel extraction and visualization |
title_sort | chexvis: a tool for molecular channel extraction and visualization |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411761/ https://www.ncbi.nlm.nih.gov/pubmed/25888118 http://dx.doi.org/10.1186/s12859-015-0545-9 |
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