MOLECULAR ASSEMBLY

A multidisciplinary approach for the computational assembly of large molecular machines from electron density maps

 Coordinatore TECHNISCHE UNIVERSITAET MUENCHEN 

 Organization address address: Arcisstrasse 21
city: MUENCHEN
postcode: 80333

contact info
Titolo: Ms.
Nome: Ulrike
Cognome: Ronchetti
Email: send email
Telefono: +49 89 289 22616
Fax: +49 89 289 22620

 Nazionalità Coordinatore Germany [DE]
 Totale costo 162˙242 €
 EC contributo 162˙242 €
 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-2010-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2011
 Periodo (anno-mese-giorno) 2011-06-01   -   2013-05-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAET MUENCHEN

 Organization address address: Arcisstrasse 21
city: MUENCHEN
postcode: 80333

contact info
Titolo: Ms.
Nome: Ulrike
Cognome: Ronchetti
Email: send email
Telefono: +49 89 289 22616
Fax: +49 89 289 22620

DE (MUENCHEN) coordinator 162˙242.40

Mappa


 Word cloud

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

resolution    em    density    machines    cryo    assembled    insights    homology    assembly    models    attract    initial    fundamental    molecular    proteasome    errors    subunits    atomic    maps   

 Obiettivo del progetto (Objective)

'Proteins are often organized in large, dynamic molecular machines. A mechanistic, atomic-resolution understanding of these machines would provide fundamental insights into the clockwork of the complex machinery underlying human life. However, machines such as the 26S-proteasome have resisted crystallization attempts for decades. Cryo-electron microscopy (cryo-EM) has provided insightful maps of molecular machines, but these lack atomic resolution. In principle, molecular machines can be assembled from atomic homology models of the subunits. However, homology models often contain large errors, causing existing assembly methods to fail. Here I present a multidisciplinary approach for the assembly of large molecular machines from cryo-EM maps. I will combine computational techniques from cryo-EM, homology modelling and interface prediction into ATTRACT, the only docking method that integrates subunit flexibility into the initial search. Driven by a cryo-EM density map, ATTRACT’s coordinated motions will reduce the initial homology model errors, bending the subunits into the correct shape while they are being assembled. The challenging nature of the problem requires the integration of approaches. After firm assessment of the abilities of the method, it will be applied to experimental density maps of the proteasome and other molecular machines, providing new fundamental insights when neither complex nor subunits are known.'

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