Opendata, web and dolomites

AvINFLUENZA SIGNED

Molecular basis of avian influenza polymerase adaptation to human hosts

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "AvINFLUENZA" data sheet

The following table provides information about the project.

Coordinator
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS 

Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794
website: www.cnrs.fr

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 France [FR]
 Total cost 185˙076 €
 EC max contribution 185˙076 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-07-01   to  2021-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) coordinator 185˙076.00

Map

 Project objective

Due to its high prevalence among birds and high human fatality rate, avian influenza represents a serious and continuing pandemic threat, in particular via mutations that facilitate human infection, resulting in pathogenic strains. Mutations associated with human infection are concentrated in the PB2 subunit of influenza polymerase. This subunit is imported into the nucleus, where viral replication and transcription occurs, via a selective interaction with host importin-alpha proteins. Once in the nucleus, interaction of PB2 with another host protein called ANP32A, has been proposed to play an essential species-specific regulatory role.

The behavior of PB2 in solution reveals a high level of conformational flexibility that is essential to function. In addition, intrinsically disordered domains of both ANP32A and importin-alpha are thought to play important roles in the interaction with PB2. This uncommonly high level of disorder presents particular challenges for standard structural studies.

This project aims to characterize structurally two protein-protein interactions of the human-adapted PB2 subunit of influenza polymerase with these two human proteins: 1. Importin-alpha 2. ANP32A

Highly dynamic complexes such as the targets of this proposal lie outside of the scope of standard methods of structural biology, and are therefore often not described. The high level of flexibility of these systems requires an innovative and integrative structural approach that will combine paramagnetic NMR with techniques such as ensemble methods to describe the conformational equilibria of highly dynamic systems, NMR relaxation dispersion and CEST, SAXS and single-molecule FRET.

Through the structural and dynamic characterization of these interactions between human-adapted avian influenza polymerase and two human host proteins, we will contribute to a deeper understanding of viral replication, providing the basic information to facilitate the design of innovative drugs.

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

More projects from the same programme (H2020-EU.1.3.2.)

PocketLight (2020)

Compact all-fibre nonlinear resonators as technological platform for a new generation of miniaturised light sources.

Read More  

DIFFER (2020)

Determinants of genetic diversity: Important Factors For Ecosystem Resilience

Read More  

SingleCellAI (2019)

Deep-learning models of CRISPR-engineered cells define a rulebook of cellular transdifferentiation

Read More