Literature DB >> 14636597

A structure-based anatomy of the E.coli metabolome.

Irene Nobeli1, Hannes Ponstingl, Eugene B Krissinel, Janet M Thornton.   

Abstract

The Escherichia coli metabolome has been characterised using the two-dimensional structures of 745 metabolites, obtained from the EcoCyc and KEGG databases. Physicochemical properties of the metabolome have been calculated to provide an overview of this set of cognate ligands. A library of fragments commonly found among these molecules has been employed to reveal the main constituents of metabolites, and to assist a broad classification of the metabolome into biochemically relevant classes. Fragment-based fingerprints reveal the metabolome as a continuum in the two-dimensional structural space, where clusters of molecules sharing similar scaffolds can be identified, but are generally overlapping. Nucleotide, carbohydrate and amino acid-like molecules are the most prominent, but at high levels of similarity, a more detailed classification is possible. Classification schemes for the metabolome are a promising tool for understanding the chemical diversity of the metabolome. When used in conjunction with existing classifications of the proteome, they can help to elucidate the binding preferences and promiscuity of proteins and their cognate substrates.

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Year:  2003        PMID: 14636597     DOI: 10.1016/j.jmb.2003.10.008

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  34 in total

1.  Metabolomic applications of electrochemistry/mass spectrometry.

Authors:  Paul H Gamache; David F Meyer; Michael C Granger; Ian N Acworth
Journal:  J Am Soc Mass Spectrom       Date:  2004-12       Impact factor: 3.109

2.  Panoramic view of a superfamily of phosphatases through substrate profiling.

Authors:  Hua Huang; Chetanya Pandya; Chunliang Liu; Nawar F Al-Obaidi; Min Wang; Li Zheng; Sarah Toews Keating; Miyuki Aono; James D Love; Brandon Evans; Ronald D Seidel; Brandan S Hillerich; Scott J Garforth; Steven C Almo; Patrick S Mariano; Debra Dunaway-Mariano; Karen N Allen; Jeremiah D Farelli
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-06       Impact factor: 11.205

3.  Inhibitory cross-talk upon introduction of a new metabolic pathway into an existing metabolic network.

Authors:  Juhan Kim; Shelley D Copley
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-14       Impact factor: 11.205

4.  The catalytic mechanism of the hotdog-fold enzyme superfamily 4-hydroxybenzoyl-CoA thioesterase from Arthrobacter sp. strain SU.

Authors:  Feng Song; James B Thoden; Zhihao Zhuang; John Latham; Michael Trujillo; Hazel M Holden; Debra Dunaway-Mariano
Journal:  Biochemistry       Date:  2012-08-20       Impact factor: 3.162

Review 5.  Toward mechanistic classification of enzyme functions.

Authors:  Daniel E Almonacid; Patricia C Babbitt
Journal:  Curr Opin Chem Biol       Date:  2011-04-12       Impact factor: 8.822

6.  Quantitative global studies of reactomes and metabolomes using a vectorial representation of reactions and chemical compounds.

Authors:  Juan C Triviño; Florencio Pazos
Journal:  BMC Syst Biol       Date:  2010-04-20

7.  Navigating the human metabolome for biomarker identification and design of pharmaceutical molecules.

Authors:  Irene Kouskoumvekaki; Gianni Panagiotou
Journal:  J Biomed Biotechnol       Date:  2010-09-28

8.  BioSM: metabolomics tool for identifying endogenous mammalian biochemical structures in chemical structure space.

Authors:  Mai A Hamdalla; Ion I Mandoiu; Dennis W Hill; Sanguthevar Rajasekaran; David F Grant
Journal:  J Chem Inf Model       Date:  2013-02-27       Impact factor: 4.956

9.  Metabolite identification using a nanoelectrospray LC-EC-array-MS integrated system.

Authors:  Susan Schiavo; Erika Ebbel; Swati Sharma; Wayne Matson; Bruce S Kristal; Steven Hersch; Paul Vouros
Journal:  Anal Chem       Date:  2008-06-25       Impact factor: 6.986

10.  Physiochemical property space distribution among human metabolites, drugs and toxins.

Authors:  Varun Khanna; Shoba Ranganathan
Journal:  BMC Bioinformatics       Date:  2009-12-03       Impact factor: 3.169

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