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Article: Navigating the human metabolome for biomarker identification and design of pharmaceutical molecules

TitleNavigating the human metabolome for biomarker identification and design of pharmaceutical molecules
Authors
Issue Date2011
PublisherHindawi Publishing Corporation. The Journal's web site is located at http://www.hindawi.com/journals/jbb/index.html
Citation
Journal Of Biomedicine And Biotechnology, 2011, v. 2011 How to Cite?
AbstractMetabolomics is a rapidly evolving discipline that involves the systematic study of endogenous small molecules that characterize the metabolic pathways of biological systems. The study of metabolism at a global level has the potential to contribute significantly to biomedical research, clinical medical practice, as well as drug discovery. In this paper, we present the most up-to-date metabolite and metabolic pathway resources, and we summarize the statistical, and machine-learning tools used for the analysis of data from clinical metabolomics. Through specific applications on cancer, diabetes, neurological and other diseases, we demonstrate how these tools can facilitate diagnosis and identification of potential biomarkers for use within disease diagnosis. Additionally, we discuss the increasing importance of the integration of metabolomics data in drug discovery. On a case-study based on the Human Metabolome Database (HMDB) and the Chinese Natural Product Database (CNPD), we demonstrate the close relatedness of the two data sets of compounds, and we further illustrate how structural similarity with human metabolites could assist in the design of novel pharmaceuticals and the elucidation of the molecular mechanisms of medicinal plants. Copyright © 2011 Irene Kouskoumvekaki and Gianni Panagiotou.
Persistent Identifierhttp://hdl.handle.net/10722/181259
ISSN
2014 Impact Factor: 3.169
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorKouskoumvekaki, Ien_US
dc.contributor.authorPanagiotou, Gen_US
dc.date.accessioned2013-02-21T02:03:33Z-
dc.date.available2013-02-21T02:03:33Z-
dc.date.issued2011en_US
dc.identifier.citationJournal Of Biomedicine And Biotechnology, 2011, v. 2011en_US
dc.identifier.issn1110-7243en_US
dc.identifier.urihttp://hdl.handle.net/10722/181259-
dc.description.abstractMetabolomics is a rapidly evolving discipline that involves the systematic study of endogenous small molecules that characterize the metabolic pathways of biological systems. The study of metabolism at a global level has the potential to contribute significantly to biomedical research, clinical medical practice, as well as drug discovery. In this paper, we present the most up-to-date metabolite and metabolic pathway resources, and we summarize the statistical, and machine-learning tools used for the analysis of data from clinical metabolomics. Through specific applications on cancer, diabetes, neurological and other diseases, we demonstrate how these tools can facilitate diagnosis and identification of potential biomarkers for use within disease diagnosis. Additionally, we discuss the increasing importance of the integration of metabolomics data in drug discovery. On a case-study based on the Human Metabolome Database (HMDB) and the Chinese Natural Product Database (CNPD), we demonstrate the close relatedness of the two data sets of compounds, and we further illustrate how structural similarity with human metabolites could assist in the design of novel pharmaceuticals and the elucidation of the molecular mechanisms of medicinal plants. Copyright © 2011 Irene Kouskoumvekaki and Gianni Panagiotou.en_US
dc.languageengen_US
dc.publisherHindawi Publishing Corporation. The Journal's web site is located at http://www.hindawi.com/journals/jbb/index.htmlen_US
dc.relation.ispartofJournal of Biomedicine and Biotechnologyen_US
dc.subject.meshBiological Markers - Metabolismen_US
dc.subject.meshDatabases, Factualen_US
dc.subject.meshDrug Discoveryen_US
dc.subject.meshHumansen_US
dc.subject.meshMetabolomicsen_US
dc.titleNavigating the human metabolome for biomarker identification and design of pharmaceutical moleculesen_US
dc.typeArticleen_US
dc.identifier.emailPanagiotou, G: gipa@hku.hken_US
dc.identifier.authorityPanagiotou, G=rp01725en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1155/2011/525497en_US
dc.identifier.pmid20936122en_US
dc.identifier.scopuseid_2-s2.0-78349268757en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78349268757&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume2011en_US
dc.identifier.isiWOS:000283225100001-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridKouskoumvekaki, I=6602787035en_US
dc.identifier.scopusauthoridPanagiotou, G=8566179700en_US

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