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HelixMold SIGNED

Computational design of novel functions in helical proteins by deviating from ideal geometries

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 HelixMold project word cloud

Explore the words cloud of the HelixMold project. It provides you a very rough idea of what is the project "HelixMold" about.

interdisciplinary    designs    parametrically    novo    deviations    introduce    stable    backbones    envisioned    critical    mutagenesis    rationally    geometries    made    thermodynamic    bundle    progress    idealized    accounting    unsolved    revolutionize    chemical    tolerance    site    environments    active    ensembles    isolate    functional    functionalization    parametrization    coil    space    organic    proteins    specified    harness    strategy    experimental    classic    sites    units    repeating    cascade    followed    nature    solvents    reactions    desired    usually    regions    follow    code    bind    crystallographic    strategies    function    tremendous    ligand    helix    saturation    helical    thermostability    catalytically    harnessing    glyphosate    relying    protein    harsh    coiled    crick    larger    resistance    robustly    sequence    computational    first    stability    genetically    ideal    biomedical    model    computationally    geometry    biotechnological    parametric    encodable    extraordinary    biophysical    heptad    bundles    designed    expands    structure    constraints    binding    de    remediation   

Project "HelixMold" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITAET GRAZ 

Organization address
address: RECHBAUERSTRASSE 12
city: GRAZ
postcode: 8010
website: www.tugraz.at

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 Austria [AT]
 Total cost 1˙499˙414 €
 EC max contribution 1˙499˙414 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-04-01   to  2024-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAET GRAZ AT (GRAZ) coordinator 1˙499˙414.00

Map

 Project objective

We propose to computationally design novel ligand binding and catalytically active proteins by harnessing the high thermodynamic stability of de novo helical proteins. Tremendous progress has been made in protein design. However, the ability to robustly introduce function into genetically encodable de novo proteins is an unsolved problem. We will follow a highly interdisciplinary computational-experimental approach to address this challenge and aim to: -Characterize to which extent we can harness the stability of parametrically designed helical bundles to introduce deviations from ideal geometry. Ensembles of idealized de novo helix bundle backbones will be generated using our established parametric design code and designed with constraints accounting for an envisioned functional site. This will be followed by detailed computational, biophysical, crystallographic and site-saturation mutagenesis analysis to isolate critical design features. -Develop a new computational design strategy, which expands on the Crick coiled-coil parametrization and allows to rationally build non-ideal helical protein backbones at specified regions in the desired structure. This will enable us to model backbones around binding/active sites. We will design sites to bind glyphosate, for which remediation is highly needed. By using non-ideal geometries and not relying on classic heptad repeating units, we will be able to access a much larger sequence to structure space than is usually available to nature, enabling us to build more specific and more stable binding/catalytically active proteins. -Investigate new strategies to design the first cascade reactions into de novo designs. This research will allow functionalization of de novo designed proteins with high thermostability, extraordinary resistance to harsh chemical environments and high tolerance for organic solvents and has the potential to revolutionize how proteins for biotechnological and biomedical applications are generated.

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

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