Literature DB >> 7584337

Representations of metabolic knowledge.

P D Karp1, M Riley.   

Abstract

Construction of electronic repositories of metabolic information is an increasingly active area of research. Encoding detailed knowledge of a complex biological domain requires finely honed representations. We survey representations used for several metabolic databases, including Eco-Cyc, and reach the following conclusions. Representation of the metabolism must distinguish enzyme classes from individual enzymes, because there is not a one-to-one mapping from enzymes to the reactions they catalyze. Individual enzymes must be represented explicitly as proteins, e.g., by encoding their subunit structure. The species variation of metabolism must be represented. So must the substrate specificity of enzymes, which may be treated in several ways.

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Year:  1993        PMID: 7584337

Source DB:  PubMed          Journal:  Proc Int Conf Intell Syst Mol Biol        ISSN: 1553-0833


  5 in total

1.  Global properties of the metabolic map of Escherichia coli.

Authors:  C A Ouzounis; P D Karp
Journal:  Genome Res       Date:  2000-04       Impact factor: 9.043

2.  Assessment of genome-wide protein function classification for Drosophila melanogaster.

Authors:  Huaiyu Mi; Jody Vandergriff; Michael Campbell; Apurva Narechania; William Majoros; Suzanna Lewis; Paul D Thomas; Michael Ashburner
Journal:  Genome Res       Date:  2003-09       Impact factor: 9.043

3.  PANTHER: a library of protein families and subfamilies indexed by function.

Authors:  Paul D Thomas; Michael J Campbell; Anish Kejariwal; Huaiyu Mi; Brian Karlak; Robin Daverman; Karen Diemer; Anushya Muruganujan; Apurva Narechania
Journal:  Genome Res       Date:  2003-09       Impact factor: 9.043

4.  LeishCyc: a biochemical pathways database for Leishmania major.

Authors:  Maria A Doyle; James I MacRae; David P De Souza; Eleanor C Saunders; Malcolm J McConville; Vladimir A Likić
Journal:  BMC Syst Biol       Date:  2009-06-05

5.  The EcoCyc Database in 2021.

Authors:  Ingrid M Keseler; Socorro Gama-Castro; Amanda Mackie; Richard Billington; César Bonavides-Martínez; Ron Caspi; Anamika Kothari; Markus Krummenacker; Peter E Midford; Luis Muñiz-Rascado; Wai Kit Ong; Suzanne Paley; Alberto Santos-Zavaleta; Pallavi Subhraveti; Víctor H Tierrafría; Alan J Wolfe; Julio Collado-Vides; Ian T Paulsen; Peter D Karp
Journal:  Front Microbiol       Date:  2021-07-28       Impact factor: 5.640

  5 in total

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