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Farmacologia y Toxicologia

  • ISSN: 2174-8365
  • Journal h-index: 1
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
Awards Nomination 20+ Million Readerbase
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  • OCLC- WorldCat
  • Euro Pub
  • SHERPA ROMEO
  • International Committee of Medical Journal Editors (ICMJE)
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Thomas Edison

Health science and medicine Karolinska Institute, Sweden

Publications
  • Mini Review   
    Construction of Protein-Interactions Ontology
    Author(s): Thomas Edison*

    Protein-protein interaction (PPI) network architectures (maximal complete subnets) are a crucial tool for analysing protein complexes and functional modules. The data defection from biological studies is complemented by PPI prediction techniques based on cliques. Clique-based prediction techniques, on the other hand, simply consider the network's topology. In a network, false-positive and false-negative interactions frequently obstruct prediction. To address this issue and increase prediction accuracy, we provide an approach that combines the gene ontology (GO) annotations with clique-based method of prediction. We produce two predicted interaction sets that ensure the quality and amount of anticipated protein interactions based on several GO correction algorithms. The PPI network from the Database of Interacting Proteins (DIP) is subjected to the suggested technique, and the majo.. View More»

    DOI: 10.36648/2174-8365.12.4.115

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