NETWORK MODULATION

Protein interaction interference: linking chemical biology to short linear motifs

Coordinatore	THE UNIVERSITY OF EDINBURGH    more  Organization address address: OLD COLLEGE, SOUTH BRIDGE city: EDINBURGH postcode: EH8 9YL contact info Titolo: Ms. Nome: Angela Cognome: Noble Email: send email Telefono: +44 131 650 9024 Fax: +44 131 650 9023
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	178˙307 €
EC contributo	178˙307 €
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-2007-2-1-IEF
Funding Scheme	MC-IEF
Anno di inizio	2009
Periodo (anno-mese-giorno)	2009-05-26   -   2011-05-25

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	THE UNIVERSITY OF EDINBURGH  Organization address address: OLD COLLEGE, SOUTH BRIDGE city: EDINBURGH postcode: EH8 9YL contact info Titolo: Ms. Nome: Angela Cognome: Noble Email: send email Telefono: +44 131 650 9024 Fax: +44 131 650 9023	UK (EDINBURGH)	coordinator	0.00

Mappa

 Word cloud

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

 Obiettivo del progetto (Objective)

'Although our knowledge about the function of basic biological elements such as genes and proteins has grown considerably, we lack a comprehensive picture of how these elements act in coordination, and our ability to modulate their function is still limited. Here, I propose a global study of motif-mediated protein interactions that aims to find interactions that can be modulated by small molecules or peptides, and their roles in the organization of signaling pathways. I will use one of the best-understood eukaryotic model organism Saccharomyces cerevisiae, for which several large-scale functional, interaction and chemical-genetic datasets are available. In addition, the genome sequences for more than a dozen of yeast species are largely complete. I will identify motif-mediated interactions using these proteomic and comparative data, and integrate them with large-scale chemical-genetic datasets to explore the correlations between genetic interactions and small molecules. I will test my predictions and study cellular pathways cross-talk using modelling and combinatorial protein interaction interference. With such a systematic approach, I aim to reveal the fundamental principles of how protein function can be modulated, and how these principles might carry over to vertebrates.'