Opendata, web and dolomites

3DPROTEINPUZZLES SIGNED

Shape-directed protein assembly design

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "3DPROTEINPUZZLES" data sheet

The following table provides information about the project.

Coordinator
LUNDS UNIVERSITET 

Organization address
address: Paradisgatan 5c
city: Lund
postcode: 22100
website: www.lu.se

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Sweden [SE]
 Project website http://andrelab.biochemistry.lu.se
 Total cost 2˙325˙292 €
 EC max contribution 2˙325˙292 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2018
 Duration (year-month-day) from 2018-06-01   to  2023-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    LUNDS UNIVERSITET SE (Lund) coordinator 2˙325˙292.00

Map

 Project objective

Large protein complexes carry out some of the most complex functions in biology. Such structures are often assembled spontaneously from individual components through the process of self-assembly. If self-assembled protein complexes could be engineered from first principle it would enable a wide range of applications in biomedicine, nanotechnology and materials science. Recently, approaches to rationally design proteins to self-assembly into predefined structures have emerged. The highlight of this work is the design of protein cages that may be engineered into protein containers. However, current approaches for self-assembly design does not result in the assemblies with the required structural complexity to encode many of the sophisticated functions found in nature. To move forward, we have to learn how to engineer protein subunits with more than one designed interface that can assemble into tightly interacting complexes. In this proposal we propose a new protein design paradigm, shape directed protein design, in order to address shortcomings of the current methodology. The proposed method combines geometric shape matching and computational protein design. Using this approach we will de novo design assemblies with a wide variety of structural states, including protein complexes with cyclic and dihedral symmetry as well as icosahedral protein capsids built from novel protein building blocks. To enable these two design challenges we also develop a high-throughput assay to measure assembly stability in vivo that builds on a three-color fluorescent assay. This method will not only facilitate the screening of orders of magnitude more design constructs, but also enable the application of directed evolution to experimentally improve stable and assembly properties of designed containers as well as other designed assemblies.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "3DPROTEINPUZZLES" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "3DPROTEINPUZZLES" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

VictPart (2019)

Righting Victim Participation in Transitional Justice

Read More  

DISINTEGRATION (2019)

The Mass Politics of Disintegration

Read More  

FICOMOL (2019)

Field Control of Cold Molecular Collisions

Read More