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Título:
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Gene Ontology Function prediction in Mollicutes using Protein-Protein Association Networks
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Autor/a:
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Gómez Moruno, Antonio; Cedano, Juan; Amela, Isaac; Planas, Antoni (Planas Sauter); Piñol, Jaume
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Otros autores:
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Universitat de Vic. Escola Politècnica Superior |
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Notas:
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Abstract
Background: Many complex systems can be represented and analysed as networks. The recent availability of
large-scale datasets, has made it possible to elucidate some of the organisational principles and rules that govern
their function, robustness and evolution. However, one of the main limitations in using protein-protein interactions
for function prediction is the availability of interaction data, especially for Mollicutes. If we could harness predicted
interactions, such as those from a Protein-Protein Association Networks (PPAN), combining several protein-protein
network function-inference methods with semantic similarity calculations, the use of protein-protein interactions for
functional inference in this species would become more potentially useful.
Results: In this work we show that using PPAN data combined with other approximations, such as functional
module detection, orthology exploitation methods and Gene Ontology (GO)-based information measures helps to
predict protein function in Mycoplasma genitalium.
Conclusions: To our knowledge, the proposed method is the first that combines functional module detection
among species, exploiting an orthology procedure and using information theory-based GO semantic similarity in
PPAN of the Mycoplasma species. The results of an evaluation show a higher recall than previously reported
methods that focused on only one organism network. |
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Materia(s):
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-Genètica |
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Derechos:
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Aquest document està subjecte a aquesta llicència Creative Commons
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
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Tipo de documento:
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Artículo |
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Editor:
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BioMed Central
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Compartir:
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