http://www.cnr.it/ontology/cnr/individuo/prodotto/ID199537

Unveiling Protein Functions through the Dynamics of the Interaction Network (Articolo in rivista)

Type

Label

Unveiling Protein Functions through the Dynamics of the Interaction Network (Articolo in rivista) (literal)

Anno

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

Alternative label

Irene Sendiña-Nadal (1,2); Yanay Ofran (3); Juan A. Almendral (1,2); Javier M. Buldú (1,2); Inmaculada Leyva (1,2); Daqing Li (4); Shlomo Havlin (4); Stefano Boccaletti (5) (2011)
Unveiling Protein Functions through the Dynamics of the Interaction Network
in PloS one
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Irene Sendiña-Nadal (1,2); Yanay Ofran (3); Juan A. Almendral (1,2); Javier M. Buldú (1,2); Inmaculada Leyva (1,2); Daqing Li (4); Shlomo Havlin (4); Stefano Boccaletti (5) (literal)

Pagina inizio

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0017679 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

Rivista

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

Note

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

1 Complex Systems Group, Universidad Rey Juan Carlos, Madrid, Spain, 2 Laboratory of Biological Networks, Centre for Biomedical Technology, Campus de Montegancedo, Madrid, Spain, 3 The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel, 4 Department of Physics, Minerva Center, Bar-Ilan University, Ramat Gan, Israel, 5 CNR- Istituto dei Sistemi Complessi, Sesto Fiorentino, Italy (literal)

Titolo

Unveiling Protein Functions through the Dynamics of the Interaction Network (literal)

Abstract

Protein interaction networks have become a tool to study biological processes, either for predicting molecular functions or for designing proper new drugs to regulate the main biological interactions. Furthermore, such networks are known to be organized in sub-networks of proteins contributing to the same cellular function. However, the protein function prediction is not accurate and each protein has traditionally been assigned to only one function by the network formalism. By considering the network of the physical interactions between proteins of the yeast together with a manual and single functional classification scheme, we introduce a method able to reveal important information on protein function, at both micro-and macro-scale. In particular, the inspection of the properties of oscillatory dynamics on top of the protein interaction network leads to the identification of misclassification problems in protein function assignments, as well as to unveil correct identification of protein functions. We also demonstrate that our approach can give a network representation of the meta-organization of biological processes by unraveling the interactions between different functional classes. (literal)

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