Literature DB >> 19418229

Database resources in metabolomics: an overview.

Eden P Go1.   

Abstract

Metabolomics is the characterization, identification, and quantitation of metabolites resulting from a wide range of biochemical processes in living systems. Its rapid development over the past few years has increased the demands for bioinformatics and cheminformatics resources that span from data processing tools, comprehensive databases, statistical tools, and computational tools for modeling metabolic networks. With the wealth of information that is being amassed, new types of metabolomic databases are emerging that are not only designed to store, manage, and analyze metabolomic data but are also designed to serve as gateways to the vast information space of metabolism in living systems. At present, metabolomics is underpinned by a number of freely and commercially available databases that provide information on the chemical structures, physicochemical and pharmacological properties, spectral profiles, experimental workflows, and biological functions of metabolites. This review provides an overview of the recent progress in databases employed in metabolomics.

Mesh:

Year:  2009        PMID: 19418229     DOI: 10.1007/s11481-009-9157-3

Source DB:  PubMed          Journal:  J Neuroimmune Pharmacol        ISSN: 1557-1890            Impact factor:   4.147


  90 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  From biological databases to platforms for biomedical discovery.

Authors:  J Daniel Navarro; Vidya Niranjan; Suraj Peri; Chandra Kiran Jonnalagadda; Akhilesh Pandey
Journal:  Trends Biotechnol       Date:  2003-06       Impact factor: 19.536

Review 3.  A bioinformatician's view of the metabolome.

Authors:  Irene Nobeli; Janet M Thornton
Journal:  Bioessays       Date:  2006-05       Impact factor: 4.345

Review 4.  Metabolomics in biomarker discovery: future uses for cancer prevention.

Authors:  Young S Kim; Padma Maruvada; John A Milner
Journal:  Future Oncol       Date:  2008-02       Impact factor: 3.404

5.  Dealing with a data dilemma.

Authors: 
Journal:  Nat Rev Drug Discov       Date:  2008-08       Impact factor: 84.694

6.  The human cerebrospinal fluid metabolome.

Authors:  David S Wishart; Michael J Lewis; Joshua A Morrissey; Mitchel D Flegel; Kevin Jeroncic; Yeping Xiong; Dean Cheng; Roman Eisner; Bijaya Gautam; Dan Tzur; Summit Sawhney; Fiona Bamforth; Russ Greiner; Liang Li
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2008-05-08       Impact factor: 3.205

7.  Metabolic databases.

Authors:  P D Karp
Journal:  Trends Biochem Sci       Date:  1998-03       Impact factor: 13.807

8.  The critical evaluation of a comprehensive mass spectral library.

Authors:  P Ausloos; C L Clifton; S G Lias; A I Mikaya; S E Stein; D V Tchekhovskoi; O D Sparkman; V Zaikin; D Zhu
Journal:  J Am Soc Mass Spectrom       Date:  1999-04       Impact factor: 3.262

9.  From genomics to chemical genomics: new developments in KEGG.

Authors:  Minoru Kanehisa; Susumu Goto; Masahiro Hattori; Kiyoko F Aoki-Kinoshita; Masumi Itoh; Shuichi Kawashima; Toshiaki Katayama; Michihiro Araki; Mika Hirakawa
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

10.  Reactome knowledgebase of human biological pathways and processes.

Authors:  Lisa Matthews; Gopal Gopinath; Marc Gillespie; Michael Caudy; David Croft; Bernard de Bono; Phani Garapati; Jill Hemish; Henning Hermjakob; Bijay Jassal; Alex Kanapin; Suzanna Lewis; Shahana Mahajan; Bruce May; Esther Schmidt; Imre Vastrik; Guanming Wu; Ewan Birney; Lincoln Stein; Peter D'Eustachio
Journal:  Nucleic Acids Res       Date:  2008-11-03       Impact factor: 16.971

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  26 in total

Review 1.  Plant metabolic modeling: achieving new insight into metabolism and metabolic engineering.

Authors:  Kambiz Baghalian; Mohammad-Reza Hajirezaei; Falk Schreiber
Journal:  Plant Cell       Date:  2014-10-24       Impact factor: 11.277

Review 2.  Online tools for bioinformatics analyses in nutrition sciences.

Authors:  Sridhar A Malkaram; Yousef I Hassan; Janos Zempleni
Journal:  Adv Nutr       Date:  2012-09-01       Impact factor: 8.701

Review 3.  Introduction to metabolomics and its applications in ophthalmology.

Authors:  S Z Tan; P Begley; G Mullard; K A Hollywood; P N Bishop
Journal:  Eye (Lond)       Date:  2016-03-18       Impact factor: 3.775

Review 4.  LC-MS-based metabolomics.

Authors:  Bin Zhou; Jun Feng Xiao; Leepika Tuli; Habtom W Ressom
Journal:  Mol Biosyst       Date:  2011-11-01

Review 5.  Nutritional metabolomics: progress in addressing complexity in diet and health.

Authors:  Dean P Jones; Youngja Park; Thomas R Ziegler
Journal:  Annu Rev Nutr       Date:  2012-04-23       Impact factor: 11.848

Review 6.  Tracer-based metabolomics: concepts and practices.

Authors:  W-N Paul Lee; Paulin N Wahjudi; Jun Xu; Vay Liang Go
Journal:  Clin Biochem       Date:  2010-08-14       Impact factor: 3.281

Review 7.  Progress toward single cell metabolomics.

Authors:  Stanislav S Rubakhin; Eric J Lanni; Jonathan V Sweedler
Journal:  Curr Opin Biotechnol       Date:  2012-12-13       Impact factor: 9.740

8.  Advances in the "omics" for diagnosis, pathogenesis, and therapeutic development.

Authors:  Howard S Fox
Journal:  J Neuroimmune Pharmacol       Date:  2010-02-09       Impact factor: 4.147

9.  Recent advances in plant metabolomics and greener pastures.

Authors:  Lloyd W Sumner
Journal:  F1000 Biol Rep       Date:  2010-01-27

Review 10.  Bioactive food components and cancer-specific metabonomic profiles.

Authors:  Young S Kim; John A Milner
Journal:  J Biomed Biotechnol       Date:  2010-11-11
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