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Biomolecular network querying: a promising approach in systems biology
The rapid accumulation of various network-related data from multiple species and conditions (e.g. disease versus normal) provides unprecedented opportunities to study the function and evolution of biological systems. Comparison of biomolecular networks between species or conditions is a promising ap...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2245906/ https://www.ncbi.nlm.nih.gov/pubmed/18205908 http://dx.doi.org/10.1186/1752-0509-2-5 |
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author | Zhang, Shihua Zhang, Xiang-Sun Chen, Luonan |
author_facet | Zhang, Shihua Zhang, Xiang-Sun Chen, Luonan |
author_sort | Zhang, Shihua |
collection | PubMed |
description | The rapid accumulation of various network-related data from multiple species and conditions (e.g. disease versus normal) provides unprecedented opportunities to study the function and evolution of biological systems. Comparison of biomolecular networks between species or conditions is a promising approach to understanding the essential mechanisms used by living organisms. Computationally, the basic goal of this network comparison or 'querying' is to uncover identical or similar subnetworks by mapping the queried network (e.g. a pathway or functional module) to another network or network database. Such comparative analysis may reveal biologically or clinically important pathways or regulatory networks. In particular, we argue that user-friendly tools for network querying will greatly enhance our ability to study the fundamental properties of biomolecular networks at a system-wide level. |
format | Text |
id | pubmed-2245906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22459062008-02-16 Biomolecular network querying: a promising approach in systems biology Zhang, Shihua Zhang, Xiang-Sun Chen, Luonan BMC Syst Biol Commentary The rapid accumulation of various network-related data from multiple species and conditions (e.g. disease versus normal) provides unprecedented opportunities to study the function and evolution of biological systems. Comparison of biomolecular networks between species or conditions is a promising approach to understanding the essential mechanisms used by living organisms. Computationally, the basic goal of this network comparison or 'querying' is to uncover identical or similar subnetworks by mapping the queried network (e.g. a pathway or functional module) to another network or network database. Such comparative analysis may reveal biologically or clinically important pathways or regulatory networks. In particular, we argue that user-friendly tools for network querying will greatly enhance our ability to study the fundamental properties of biomolecular networks at a system-wide level. BioMed Central 2008-01-18 /pmc/articles/PMC2245906/ /pubmed/18205908 http://dx.doi.org/10.1186/1752-0509-2-5 Text en Copyright © 2008 Zhang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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 cited. |
spellingShingle | Commentary Zhang, Shihua Zhang, Xiang-Sun Chen, Luonan Biomolecular network querying: a promising approach in systems biology |
title | Biomolecular network querying: a promising approach in systems biology |
title_full | Biomolecular network querying: a promising approach in systems biology |
title_fullStr | Biomolecular network querying: a promising approach in systems biology |
title_full_unstemmed | Biomolecular network querying: a promising approach in systems biology |
title_short | Biomolecular network querying: a promising approach in systems biology |
title_sort | biomolecular network querying: a promising approach in systems biology |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2245906/ https://www.ncbi.nlm.nih.gov/pubmed/18205908 http://dx.doi.org/10.1186/1752-0509-2-5 |
work_keys_str_mv | AT zhangshihua biomolecularnetworkqueryingapromisingapproachinsystemsbiology AT zhangxiangsun biomolecularnetworkqueryingapromisingapproachinsystemsbiology AT chenluonan biomolecularnetworkqueryingapromisingapproachinsystemsbiology |