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IDPfun SIGNED

Driving the functional characterization of intrinsically disordered proteins

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 IDPfun project word cloud

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

leverage    ms    infrastructure    databases    drive    creation    comprehension    translated    quality    ontology    complexity    international    promiscuity    collaborative    strengthen    residues    interacting    ways    expertise    almost    extend    overseas    conferences    proteins    bioinformatics    limited    symposia    idps    gained    defy    tc    structure    starting    functions    latter    tools    players    complementary    interaction    disordered    mechanisms    exchange    benefit    disseminated    schools    variability    regulation    protein    understand    functional    driving    standards    idpfun    expertises    young    cellular    human    gender    classification    diseases    paradigm    half    eukaryotic    mostly    sustainable    identification    characterization    balance    curated    multiple    suggests    generate    detect    periodic    cover    training    highest    idp    proteomes    collaborations    phenomena    meetings    sequence    ethics    conformational    point    argentina    adherence    contributed    computational    context    continuous    environment    scientific    classic    intrinsically    published    community    evolutionary    function    create   

Project "IDPfun" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI PADOVA 

Organization address
address: VIA 8 FEBBRAIO 2
city: PADOVA
postcode: 35122
website: www.unipd.it

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 Italy [IT]
 Total cost 1˙291˙500 €
 EC max contribution 1˙291˙500 € (100%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2017
 Funding Scheme MSCA-RISE
 Starting year 2018
 Duration (year-month-day) from 2018-03-01   to  2022-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI PADOVA IT (PADOVA) coordinator 423˙000.00
2    EUROPEAN MOLECULAR BIOLOGY LABORATORY DE (HEIDELBERG) participant 234˙000.00
3    VRIJE UNIVERSITEIT BRUSSEL BE (BRUSSEL) participant 234˙000.00
4    EOTVOS LORAND TUDOMANYEGYETEM HU (BUDAPEST) participant 207˙000.00
5    UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN IE (DUBLIN) participant 193˙500.00
6    FUNDACION INSTITUTO LELOIR AR (Buenos Aires) partner 0.00
7    UNIVERSIDAD NACIONAL DE GENERAL SAN MARTIN AR (SAN MARTIN BUENOS AIRES) partner 0.00
8    UNIVERSIDAD NACIONAL DE QUILMES AR (BERNAL) partner 0.00

Map

 Project objective

Intrinsically disordered proteins (IDPs), characterized by high conformational variability and interaction promiscuity, defy the classic protein structure-function paradigm. IDPs cover almost half of the residues in Eukaryotic proteomes. Growing evidence suggests that IDPs, interacting with multiple partners, are major players in cellular regulation and involved in numerous human diseases. Computational methods have contributed to the identification of IDPs from sequence and recently published curated IDP databases provide a starting point. However, functional knowledge for IDPs remains very limited. IDPfun is an international consortium aiming to extend our knowledge on the functions of IDPs. Starting from available state of the art computational tools and databases, which have been mostly developed by IDPfun participants, it aims drive a new level of IDP characterization leverage the complementary expertise of 5 EU MS and 3 TC institutions in Argentina, the latter providing useful complementary expertises. IDPfun will create a collaborative environment for research on novel ways to detect and characterize different IDP phenomena in their evolutionary context. It will develop an ontology and classification facilitating the comprehension of IDP complexity and aims to understand IDP functional mechanisms. The gained knowledge will be translated into major international protein databases for the benefit of the wider scientific community. Periodic meetings and symposia will generate a continuous knowledge exchange to be disseminated by open training schools and conferences. IDPfun will foster particularly young researchers, through dedicated activities and by ensuring adherence to the highest quality, ethics and gender balance standards. It is expected that IDPfun will strengthen overseas collaborations, focusing and coordinating research, leading to the creation of a sustainable international IDP community, driving knowledge and infrastructure in bioinformatics.

 Deliverables

List of deliverables.
Symposia Period 1 Other 2020-03-27 11:42:41
New version of the Mobi software Demonstrators, pilots, prototypes 2020-03-11 14:42:16
Software for the identification of homologous IDR clusters from sequence databases Demonstrators, pilots, prototypes 2020-02-12 12:17:39
Software package for the automatic extraction of PED entry data from protein ensembles Demonstrators, pilots, prototypes 2019-09-17 16:46:21
Software for automatic detection of IDRs and linear motifs from protein structures Demonstrators, pilots, prototypes 2019-09-17 16:46:21
A software tool for the automatic extraction of IDR relevant information from literature Demonstrators, pilots, prototypes 2019-09-17 16:46:21

Take a look to the deliverables list in detail:  detailed list of IDPfun deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Julia Marchetti, Alexander Miguel Monzon, Silvio C.E. Tosatto, Gustavo Parisi, María Silvina Fornasari
Ensembles from Ordered and Disordered Proteins Reveal Similar Structural Constraints during Evolution
published pages: 1298-1307, ISSN: 0022-2836, DOI: 10.1016/j.jmb.2019.01.031
Journal of Molecular Biology 431/6 2019-09-17
2018 Marco Necci, Damiano Piovesan, Silvio C E Tosatto
Where differences resemble: sequence-feature analysis in curated databases of intrinsically disordered proteins
published pages: , ISSN: 1758-0463, DOI: 10.1093/database/bay127
Database 2018 2019-09-17
2019 Pablo Mier, Lisanna Paladin, Stella Tamana, Sophia Petrosian, Borbála Hajdu-Soltész, Annika Urbanek, Aleksandra Gruca, Dariusz Plewczynski, Marcin Grynberg, Pau Bernadó, Zoltán Gáspári, Christos A Ouzounis, Vasilis J Promponas, Andrey V Kajava, John M Hancock, Silvio C E Tosatto, Zsuzsanna Dosztanyi, Miguel A Andrade-Navarro
Disentangling the complexity of low complexity proteins
published pages: , ISSN: 1467-5463, DOI: 10.1093/bib/bbz007
Briefings in Bioinformatics 2019 2019-09-17

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

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