5 results on '"Elvis J. Lo"'
Search Results
2. HMDB 4.0: the human metabolome database for 2018.
- Author
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David S. Wishart, Yannick Djoumbou Feunang, Ana Marcu, An Chi Guo, Kevin Y. H. Liang, Rosa Vázquez-Fresno, Tanvir Sajed, Daniel Johnson, Carin Li, Naama Karu, Zinat Sayeeda, Elvis J. Lo, Nazanin Assempour, Mark V. Berjanskii, Sandeep Singhal, David Arndt, Yongjie Liang, Hasan Badran, Jason R. Grant, Arnau Serra-Cayuela, Yifeng Liu, Rupa Mandal, Vanessa Neveu, Allison Pon, Craig Knox, Michael Wilson 0002, Claudine Manach, and Augustin Scalbert
- Published
- 2018
- Full Text
- View/download PDF
3. DrugBank 5.0: a major update to the DrugBank database for 2018.
- Author
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David S. Wishart, Yannick D. Feunang, An Chi Guo, Elvis J. Lo, Ana Marcu, Jason R. Grant, Tanvir Sajed, Daniel Johnson, Carin Li, Zinat Sayeeda, Nazanin Assempour, Ithayavani Iynkkaran, Yifeng Liu, Adam Maciejewski, Nicola Gale, Alex Wilson, Lucy Chin, Ryan Cummings, Diana Le, Allison Pon, Craig Knox, and Michael Wilson 0002
- Published
- 2018
- Full Text
- View/download PDF
4. DrugBank 5.0: a major update to the DrugBank database for 2018
- Author
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Carin Li, Adam Maciejewski, Allison Pon, Ryan Cummings, Nicola Gale, Ana Marcu, Yannick Djoumbou Feunang, Alex Wilson, Zinat Sayeeda, Ithayavani Iynkkaran, Diana Le, David S. Wishart, An Chi Guo, Craig Knox, Lucy Chin, Tanvir Sajed, Nazanin Assempour, Jason R. Grant, Yifeng Liu, Elvis J. Lo, Michael Wilson, and Daniel Johnson
- Subjects
0301 basic medicine ,Drug ,Databases, Pharmaceutical ,Pharmacological research ,media_common.quotation_subject ,MEDLINE ,Biology ,computer.software_genre ,Polymorphism, Single Nucleotide ,Food-Drug Interactions ,User-Computer Interface ,03 medical and health sciences ,Consistency (database systems) ,0302 clinical medicine ,Genetics ,Database Issue ,Drug Interactions ,Pharmaceutical sciences ,media_common ,Database ,Drug repositioning ,030104 developmental biology ,030220 oncology & carcinogenesis ,Metabolome ,Drug education ,Transcriptome ,computer ,DrugBank - Abstract
DrugBank (www.drugbank.ca) is a web-enabled database containing comprehensive molecular information about drugs, their mechanisms, their interactions and their targets. First described in 2006, DrugBank has continued to evolve over the past 12 years in response to marked improvements to web standards and changing needs for drug research and development. This year’s update, DrugBank 5.0, represents the most significant upgrade to the database in more than 10 years. In many cases, existing data content has grown by 100% or more over the last update. For instance, the total number of investigational drugs in the database has grown by almost 300%, the number of drug-drug interactions has grown by nearly 600% and the number of SNP-associated drug effects has grown more than 3000%. Significant improvements have been made to the quantity, quality and consistency of drug indications, drug binding data as well as drug-drug and drug-food interactions. A great deal of brand new data have also been added to DrugBank 5.0. This includes information on the influence of hundreds of drugs on metabolite levels (pharmacometabolomics), gene expression levels (pharmacotranscriptomics) and protein expression levels (pharmacoprotoemics). New data have also been added on the status of hundreds of new drug clinical trials and existing drug repurposing trials. Many other important improvements in the content, interface and performance of the DrugBank website have been made and these should greatly enhance its ease of use, utility and potential applications in many areas of pharmacological research, pharmaceutical science and drug education.
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- 2017
- Full Text
- View/download PDF
5. HMDB 4.0: the human metabolome database for 2018
- Author
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Allison Pon, Carin Li, Zinat Sayeeda, An Chi Guo, Craig Knox, Hasan Badran, David Arndt, Vanessa Neveu, Mark V. Berjanskii, Kevin Y. H. Liang, Yannick Djoumbou Feunang, Augustin Scalbert, Naama Karu, Claudine Manach, Rosa Vázquez-Fresno, Arnau Serra-Cayuela, Jason R. Grant, Ana Marcu, Sandeep Singhal, Yongjie Liang, Rupa Mandal, Nazanin Assempour, Yifeng Liu, David S. Wishart, Elvis J. Lo, Michael Wilson, Daniel Johnson, Tanvir Sajed, Department of Biological Sciences, The Open University [Milton Keynes] (OU), Department of Computer Science, Duke University [Durham], Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, International Agency for Cancer Research (IACR), OMx Personal Health Analytics, Unité de Nutrition Humaine - Clermont Auvergne (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), Genome Alberta (a division of Genome Canada), The Canadian Institutes of Health Research (CIHR), Western Economic Diversification (WED), Alberta Innovates Health Solutions (AIHS). Funding for open access charge: Genome Canada., Wishart, David S, Unité de Nutrition Humaine (UNH), and Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])
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0301 basic medicine ,Databases, Factual ,Bioinformatics ,Metabolite ,Chimie analytique ,metabolite ,Disease Association ,Computational biology ,Biology ,01 natural sciences ,Gas Chromatography-Mass Spectrometry ,analyse métabolomique ,03 medical and health sciences ,chemistry.chemical_compound ,User-Computer Interface ,Metabolomics ,Tandem Mass Spectrometry ,[CHIM.ANAL]Chemical Sciences/Analytical chemistry ,Genetics ,Metabolome ,Database Issue ,Humans ,Human Metabolome Database ,Spectral data ,être humain ,Nuclear Magnetic Resonance, Biomolecular ,database ,Text searching ,010401 analytical chemistry ,Biological classification ,0104 chemical sciences ,3. Good health ,030104 developmental biology ,chemistry ,Bio-informatique ,[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] ,Analytical chemistry ,Databases, Chemical ,Metabolic Networks and Pathways - Abstract
The Human Metabolome Database or HMDB (www.hmdb.ca) is a web-enabled metabolomic database containing comprehensive information about human metabolites along with their biological roles, physiological concentrations, disease associations, chemical reactions, metabolic pathways, and reference spectra. First described in 2007, the HMDB is now considered the standard metabolomic resource for human metabolic studies. Over the past decade the HMDB has continued to grow and evolve in response to emerging needs for metabolomics researchers and continuing changes in web standards. This year's update, HMDB 4.0, represents the most significant upgrade to the database in its history. For instance, the number of fully annotated metabolites has increased by nearly threefold, the number of experimental spectra has grown by almost fourfold and the number of illustrated metabolic pathways has grown by a factor of almost 60. Significant improvements have also been made to the HMDB’s chemical taxonomy, chemical ontology, spectral viewing, and spectral/text searching tools. A great deal of brand new data has also been added to HMDB 4.0. This includes large quantities of predicted MS/MS and GC–MS reference spectral data as well as predicted (physiologically feasible) metabolite structures to facilitate novel metabolite identification. Additional information on metabolite-SNP interactions and the influence of drugs on metabolite levels (pharmacometabolomics) has also been added. Many other important improvements in the content, the interface, and the performance of the HMDB website have been made and these should greatly enhance its ease of use and its potential applications in nutrition, biochemistry, clinical chemistry, clinical genetics, medicine, and metabolomics science.
- Published
- 2018
- Full Text
- View/download PDF
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