Opendata, web and dolomites

iCHEMGENODRUGS_TB SIGNED

Chemogenomics and in silico repurposing as an innovative approach for rapid drug discovery in tuberculosis

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "iCHEMGENODRUGS_TB" data sheet

The following table provides information about the project.

Coordinator
UNIVERSIDADE NOVA DE LISBOA 

Organization address
address: CAMPUS DE CAMPOLIDE
city: LISBOA
postcode: 1099 085
website: n.a.

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 Portugal [PT]
 Total cost 148˙635 €
 EC max contribution 148˙635 € (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-CAR
 Starting year 2018
 Duration (year-month-day) from 2018-04-01   to  2020-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSIDADE NOVA DE LISBOA PT (LISBOA) coordinator 148˙635.00

Map

 Project objective

Tuberculosis is one of the most worrying Global and Public Health problems in the present day and causes a major economic and social burden, which can significantly drain a society’s resources. In 2015, 10.4 million people fell ill with tuberculosis and 1.8 million died from the disease. In addition, an estimated 480000 people developed multidrug-resistant tuberculosis. The development of new drugs and new therapeutic regimens effective against drug susceptible and drug resistant tuberculosis is one of the greatest challenges in the way of tuberculosis control. Conventional drug discovery strategies are usually costly and time-consuming and, frequently, with low rates of success. This project aims to develop a new paradigm for tuberculosis drug development, using the drug repurposing strategy (to find new uses for already approved drugs) coupled with an in silico chemogenomics method. The focus will be targeting energy metabolism, particularly the oxidative phosphorylation, a novel target pathway in tuberculosis drug discovery. This research project has the potential to greatly benefit tuberculosis drug discovery by finding new drugs for a largely unexplored pathway and by introducing a new approach that can increase the probability of identifying effective drugs and decrease the bottlenecks of the conventional drug discovery approach, saving both time and money. Since tuberculosis has a high social and economic impact, this project aims not only to contribute to scientific and academic knowledge in this field, but also to increase public awareness on tuberculosis drug resistance and the need for new drugs by using several outreach activities. Finally, searching for new effective drugs that can tackle the problem of drug resistance and reduce the costs of drug treatment contributes to the decrease of social impact and economic burden of this disease and is in line with the goals of the World Health Organization “End TB” strategy.

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

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

NeuroSens (2019)

Neuromodulation of Sensory Processing

Read More  

EPIC (2019)

Evolution of Planktonic Gastropod Calcification

Read More  

NaWaTL (2020)

Narrative, Writing, and the Teotihuacan Language: Exploring Language History Through Phylogenetics, Epigraphy and Iconography

Read More