IMPRECO: Distributed prediction of protein complexes (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• IMPRECO: Distributed prediction of protein complexes (Articolo in rivista) (literal)

Anno

• 2010-01-01T00:00:00+01:00 (literal)

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

• 10.1016/j.future.2009.08.001 (literal)

Alternative label

• M. Cannataro; Pietro H. Guzzi; P. Veltri (2010)
  IMPRECO: Distributed prediction of protein complexes
  in Future generation computer systems; ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, AMSTERDAM (Paesi Bassi)
  (literal)

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

• M. Cannataro; Pietro H. Guzzi; P. Veltri (literal)

Pagina inizio

• 434 (literal)

Pagina fine

• 440 (literal)

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

• http://www.sciencedirect.com/science/article/pii/S0167739X09001113 (literal)

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

• 26 (literal)

Rivista

• Future generation computer systems (Rivista)

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

• 7 (literal)

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

• 3 (literal)

Note

• ISI Web of Science (WOS) (literal)

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

• Mario Cannataro, Pietro H. Guzzi ?, Pierangelo Veltri Bioinformatics Laboratory, Department of Experimental Medicine and Clinic, University Magna Graecia, Viale Europa, 88100 Catanzaro, Italy (literal)

Titolo

• IMPRECO: Distributed prediction of protein complexes (literal)

Abstract

• Proteins interact among themselves, and different interactions form a very huge number of possible combinations representable as protein-to-protein interaction (PPI) networks that are mapped into graph structures. Proteincomplexes are a subset of mutually interacting proteins. Starting from a PPI network, proteincomplexes may be extracted by using computational methods. The paper proposes a new complexes meta-predictor which is capable of predicting proteincomplexes by integrating the results of different predictors. It is based on a distributed architecture that wraps predictor as web/grid services that is built on top of the grid infrastructure. The proposed meta-predictor first invokes different available predictors wrapped as services in a parallel way, then integrates their results using graph analysis, and finally evaluates the predicted results by comparing them against external databases storing experimentally determined protein complexes. (literal)

Editore

• ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS (Editore)

Prodotto di

• Istituto di calcolo e reti ad alte prestazioni (ICAR) (Istituto)
• Sistemi distribuiti e pervasivi intelligenti (ICT.P09.001.001) (Modulo)

Autore CNR

• MARIO CANNATARO (Persona)

Insieme di parole chiave

• Parole chiave di "IMPRECO: Distributed prediction of protein complexes" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di calcolo e reti ad alte prestazioni (ICAR) (Istituto)
• Sistemi distribuiti e pervasivi intelligenti (ICT.P09.001.001) (Modulo)

Autore CNR di

• MARIO CANNATARO (Persona)

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

• Future generation computer systems (Rivista)

Editore di

• ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS (Editore)

Insieme di parole chiave di

• Parole chiave di "IMPRECO: Distributed prediction of protein complexes" (Insieme di parole chiave)