Articles producció científica> Enginyeria Química

Use of a global metabolic network to curate organismal metabolic networks

  • Identification data

    Identifier: imarina:9298212
    Authors:
    Pah, A RGuimera, RMustoe, A MAmaral, L A N
    Abstract:
    The difficulty in annotating the vast amounts of biological information poses one of the greatest current challenges in biological research. The number of genomic, proteomic, and metabolomic datasets has increased dramatically over the last two decades, far outstripping the pace of curation efforts. Here, we tackle the challenge of curating metabolic network reconstructions. We predict organismal metabolic networks using sequence homology and a global metabolic network constructed from all available organismal networks. While sequence homology has been a standard to annotate metabolic networks it has been faulted for its lack of predictive power. We show, however, that when homology is used with a global metabolic network one is able to predict organismal metabolic networks that have enhanced network connectivity. Additionally, we compare the annotation behavior of current database curation efforts with our predictions and find that curation efforts are biased towards adding (rather than removing) reactions to organismal networks.
  • Others:

    Author, as appears in the article.: Pah, A R; Guimera, R; Mustoe, A M; Amaral, L A N
    Department: Enginyeria Química
    URV's Author/s: Guimera Manrique, Roger
    Keywords: User-computer interface Transportation network Signal transduction Reconstruction Motifs Models, biological Metabolome Kegg Information storage and retrieval Humans Genomics Genes Generation Evolution Databases, genetic Computer simulation Cartography Biochemical networks Annotation Animals
    Abstract: The difficulty in annotating the vast amounts of biological information poses one of the greatest current challenges in biological research. The number of genomic, proteomic, and metabolomic datasets has increased dramatically over the last two decades, far outstripping the pace of curation efforts. Here, we tackle the challenge of curating metabolic network reconstructions. We predict organismal metabolic networks using sequence homology and a global metabolic network constructed from all available organismal networks. While sequence homology has been a standard to annotate metabolic networks it has been faulted for its lack of predictive power. We show, however, that when homology is used with a global metabolic network one is able to predict organismal metabolic networks that have enhanced network connectivity. Additionally, we compare the annotation behavior of current database curation efforts with our predictions and find that curation efforts are biased towards adding (rather than removing) reactions to organismal networks.
    Thematic Areas: Zootecnia / recursos pesqueiros Saúde coletiva Química Psicología Odontología Nutrição Multidisciplinary sciences Multidisciplinary Medicina veterinaria Medicina iii Medicina ii Medicina i Materiais Matemática / probabilidade e estatística Letras / linguística Interdisciplinar Geografía Geociências Farmacia Engenharias iv Engenharias iii Engenharias ii Enfermagem Educação física Educação Economia Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Ciência da computação Biotecnología Biodiversidade Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: roger.guimera@urv.cat
    Author identifier: 0000-0002-3597-4310
    Record's date: 2024-10-26
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.nature.com/articles/srep01695
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Scientific Reports. 3 1695-
    APA: Pah, A R; Guimera, R; Mustoe, A M; Amaral, L A N (2013). Use of a global metabolic network to curate organismal metabolic networks. Scientific Reports, 3(), 1695-. DOI: 10.1038/srep01695
    Article's DOI: 10.1038/srep01695
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2013
    Publication Type: Journal Publications
  • Keywords:

    Multidisciplinary,Multidisciplinary Sciences
    User-computer interface
    Transportation network
    Signal transduction
    Reconstruction
    Motifs
    Models, biological
    Metabolome
    Kegg
    Information storage and retrieval
    Humans
    Genomics
    Genes
    Generation
    Evolution
    Databases, genetic
    Computer simulation
    Cartography
    Biochemical networks
    Annotation
    Animals
    Zootecnia / recursos pesqueiros
    Saúde coletiva
    Química
    Psicología
    Odontología
    Nutrição
    Multidisciplinary sciences
    Multidisciplinary
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Materiais
    Matemática / probabilidade e estatística
    Letras / linguística
    Interdisciplinar
    Geografía
    Geociências
    Farmacia
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Enfermagem
    Educação física
    Educação
    Economia
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Ciência da computação
    Biotecnología
    Biodiversidade
    Astronomia / física
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