Detalle de: Theoretical and computational investigation of tuberculosis antimicrobial resistance development based on extensive experimental library of mycobacterium strains
| Title | Theoretical and computational investigation of tuberculosis antimicrobial resistance development based on extensive experimental library of mycobacterium strains |
| Description |
Multidrug resistance of Mycobacterium tuberculosis is declared a serious global threat by the World Health Organization.Our project aims at developing a comprehensive model of molecular mechanisms responsible for antimicrobial drug resistance of tuberculosis. Isoniazid is the main drug used for TB treatment, because it interacts with the bacterial catalasethat leads to the bacterial death. The library of isoniazid resistant strains (over 100 different strains) will be used asexperimental basis for building theoretical and computational models of the molecular processes leading to drug resistanceof mutated bacteria. The model will be used for suggesting effective treatment targeting these mechanisms and overcomingthe resistance.AMR-TB RISE will be used to utilise the expertise of highly specialised research groups of biologists, clinicians, biochemists,physicists, computer engineers, and mathematicians allowing the researches from these groups to work in multiplelaboratories of the Consortium all over the world. Particular attention will be given to training the next generation of youngresearcher and forming tightly interconnected, long term collaboration devoted to solving the pressing global problem of antimicrobial resistance not only in TB, but in a wide spectrum of diseases. |
| Type Of Funding | EU |
| Funding Agency | European Commission (Horizon 2020) |
| Grant Number | 823922 |
| Project Acronym | AMR-TB |
| Period | 01/02/2019-31/05/2025 |
| Funding Amount | 731,400 € |
| Ontology | Computational models and simulations, Mutation Analysis and design, Drug Discovery and design, Medicine |
| Research Groups | Computational biology and Bioinformatics (CBM): from Proteins to Ecosystems |
| Researchers | Ugo Bastolla |
