PROTEASIX

A novel bioinformatics’ platform to identify key proteasic pathways involved in kidney diseases

 Coordinatore THE UNIVERSITY OF MANCHESTER 

 Organization address address: OXFORD ROAD
city: MANCHESTER
postcode: M13 9PL

contact info
Titolo: Ms.
Nome: Liz
Cognome: Fay
Email: send email
Telefono: 441613000000

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 104˙516 €
 EC contributo 104˙516 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2011-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-05-01   -   2013-04-30

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF MANCHESTER

 Organization address address: OXFORD ROAD
city: MANCHESTER
postcode: M13 9PL

contact info
Titolo: Ms.
Nome: Liz
Cognome: Fay
Email: send email
Telefono: 441613000000

UK (MANCHESTER) coordinator 104˙516.70

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 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

disease    protein    diseases    sites    bioinformatics    proteasic    gain    time    biomarkers    peptides    identification    platform    enzymes    peptide    kidney    generate    pathways   

 Obiettivo del progetto (Objective)

'The aim of this project is to develop a new bioinformatics’ platform that will for the first time allow the identification of the key proteasic pathways involved in the development of kidney disease in an automatic and systematic way. Proteases generate peptides through cleavage of specific sites, present on given protein substrates. Interestingly, recent clinical studies have led to the identification of diagnostic and prognostic peptide biomarkers of a variety of nephropathies. The platform will thus contain a database grouping all these clinically relevant peptides and will automatically retrieve the enzymes involved in their generation by analyzing the sites that have been processed. To achieve this, the proposed work will use specific knowledge of the kidney pathophysiology in combination with state-of-the-art technologies in the bioinformatics’ field. The novelty of this project relies on: 1) automation of the process on large amount of data (gain of time); and 2) focus on enzymatic activity that will complement more classically used analyses of gene or protein expression (gain of knowledge). The disease-associated proteasic pathways identified in-silico will later be validated in a life-science lab and should lead at the long term to an improved understanding of the development of kidney diseases'

Introduzione (Teaser)

EU support has enabled scientists to develop an important tool linking peptide biomarkers of diseases with the enzymes that generate them. Getting even one step closer to the mechanisms of diseases will point to new biomarkers and potential routes to therapies.

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