File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1080/1062936X.2012.657237
- Scopus: eid_2-s2.0-84860296344
- PMID: 22352466
- WOS: WOS:000303126400002
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: The impact of network biology in pharmacology and toxicology
Title | The impact of network biology in pharmacology and toxicology |
---|---|
Authors | |
Keywords | chemical biology chemical toxicity network biology systems biology |
Issue Date | 2012 |
Publisher | Taylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/1062936x.asp |
Citation | Sar And Qsar In Environmental Research, 2012, v. 23 n. 3-4, p. 221-235 How to Cite? |
Abstract | With the need to investigate alternative approaches and emerging technologies in order to increase drug efficacy and reduce adverse drug effects, network biology offers a novel way of approaching drug discovery by considering the effect of a molecule and protein's function in a global physiological environment. By studying drug action across multiple scales of complexity, from molecular to cellular and tissue level, network-based computational methods have the potential to improve our understanding of the impact of chemicals in human health. In this review we present the available large-scale databases and tools that allow integration and analysis of such information for understanding the properties of small molecules in the context of cellular networks. With the recent advances in the omics area, global integrative approaches are necessary to cope with the massive amounts of data, and biomedical researchers are urged to implement new types of analyses that can lead to new therapeutic interventions with increased safety and efficacy compared with existing medications. © 2012 Copyright Taylor and Francis Group, LLC. |
Persistent Identifier | http://hdl.handle.net/10722/181265 |
ISSN | 2023 Impact Factor: 2.3 2023 SCImago Journal Rankings: 0.359 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Panagiotou, G | en_US |
dc.contributor.author | Taboureau, O | en_US |
dc.date.accessioned | 2013-02-21T02:03:36Z | - |
dc.date.available | 2013-02-21T02:03:36Z | - |
dc.date.issued | 2012 | en_US |
dc.identifier.citation | Sar And Qsar In Environmental Research, 2012, v. 23 n. 3-4, p. 221-235 | en_US |
dc.identifier.issn | 1062-936X | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/181265 | - |
dc.description.abstract | With the need to investigate alternative approaches and emerging technologies in order to increase drug efficacy and reduce adverse drug effects, network biology offers a novel way of approaching drug discovery by considering the effect of a molecule and protein's function in a global physiological environment. By studying drug action across multiple scales of complexity, from molecular to cellular and tissue level, network-based computational methods have the potential to improve our understanding of the impact of chemicals in human health. In this review we present the available large-scale databases and tools that allow integration and analysis of such information for understanding the properties of small molecules in the context of cellular networks. With the recent advances in the omics area, global integrative approaches are necessary to cope with the massive amounts of data, and biomedical researchers are urged to implement new types of analyses that can lead to new therapeutic interventions with increased safety and efficacy compared with existing medications. © 2012 Copyright Taylor and Francis Group, LLC. | en_US |
dc.language | eng | en_US |
dc.publisher | Taylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/1062936x.asp | en_US |
dc.relation.ispartof | SAR and QSAR in Environmental Research | en_US |
dc.subject | chemical biology | - |
dc.subject | chemical toxicity | - |
dc.subject | network biology | - |
dc.subject | systems biology | - |
dc.subject.mesh | Animals | en_US |
dc.subject.mesh | Drug Discovery - Methods | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Mice | en_US |
dc.subject.mesh | Pharmacology | en_US |
dc.subject.mesh | Proteins - Physiology | en_US |
dc.subject.mesh | Rats | en_US |
dc.subject.mesh | Risk Assessment - Methods | en_US |
dc.subject.mesh | Structure-Activity Relationship | en_US |
dc.subject.mesh | Systems Biology | en_US |
dc.subject.mesh | Toxicology | en_US |
dc.title | The impact of network biology in pharmacology and toxicology | en_US |
dc.type | Article | en_US |
dc.identifier.email | Panagiotou, G: gipa@hku.hk | en_US |
dc.identifier.authority | Panagiotou, G=rp01725 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1080/1062936X.2012.657237 | en_US |
dc.identifier.pmid | 22352466 | - |
dc.identifier.scopus | eid_2-s2.0-84860296344 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-84860296344&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 23 | en_US |
dc.identifier.issue | 3-4 | en_US |
dc.identifier.spage | 221 | en_US |
dc.identifier.epage | 235 | en_US |
dc.identifier.isi | WOS:000303126400002 | - |
dc.publisher.place | United Kingdom | en_US |
dc.identifier.scopusauthorid | Panagiotou, G=8566179700 | en_US |
dc.identifier.scopusauthorid | Taboureau, O=8857290100 | en_US |
dc.identifier.issnl | 1026-776X | - |