Opendata, web and dolomites

Protein Lego SIGNED

Protein design from sub-domain sized fragments

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "Protein Lego" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAET BAYREUTH 

Organization address
address: UNIVERSITATSSTRASSE 30
city: BAYREUTH
postcode: 95447
website: www.uni-bayreuth.de

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 Germany [DE]
 Total cost 1˙950˙000 €
 EC max contribution 1˙950˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-CoG
 Funding Scheme ERC-COG
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2020-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET BAYREUTH DE (BAYREUTH) coordinator 1˙928˙750.00
2    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (MUENCHEN) participant 21˙250.00

Map

 Project objective

Proteins are ubiquitous, very diverse, and participate in virtually every cellular process. Nature has generated this impressive set of proteins using mechanisms such as recombination of smaller, sub-domain sized protein fragments that serve as building blocks in a Lego-like manner. Based on these observations we propose a rational design strategy in which new functional proteins are build from fragments of existing proteins. With this approach we aim to tackle a long-standing goal in biochemistry, namely the design of complex, custom-made proteins. Initial experiments that recombine fragments from the same as well as from different folds have been successful in creating new proteins. Moreover, the utilized fragments contribute their unique functional properties to the protein chimeras, which is a tremendous advantage of using existing subunits for the design. Here, we aim to generalize this approach. We will identify common structural fragments and classify them based on their associated functions. We will build stable hybrid proteins from different folds, transfer functional sites associated with particular fragments, and thereby learn about general design rules. The proposed approach offers a rigorous test for the identification of minimal determinants of protein structure and function. It simultaneously allows us to test our understanding of protein evolution and will have profound implications on the current view of structural classification and interactions. And lastly, the development of a reliable methodology for the design of complex proteins will be very valuable for synthetic biology and bioengineering approaches.

 Publications

year authors and title journal last update
List of publications.
2019 Saacnicteh Toledo-Patiño, Manish Chaubey, Murray Coles, Birte Höcker
Reconstructing the Remote Origins of a Fold Singleton from a Flavodoxin-Like Ancestor
published pages: 4790-4793, ISSN: 0006-2960, DOI: 10.1021/acs.biochem.9b00900
Biochemistry 58/48 2020-02-13
2018 Horst Lechner, Noelia Ferruz, Birte Höcker
Strategies for designing non-natural enzymes and binders
published pages: 67-76, ISSN: 1367-5931, DOI: 10.1016/j.cbpa.2018.07.022
Current Opinion in Chemical Biology 47 2019-09-17

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PROTEIN LEGO" 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 "PROTEIN LEGO" are provided by the European Opendata Portal: CORDIS opendata.

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

CohoSing (2019)

Cohomology and Singularities

Read More  

PROTECHT (2020)

Providing RObust high TECHnology Tags based on linear carbon nanostructures

Read More  

OSIRIS (2020)

Automatic measurement of speech understanding using EEG

Read More