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Predicting antibiotic resistance
EC contribution
: € 6,000,000
: 36 months
Starting date
: January 2010
Funding scheme
: Large-scale integrating project (IP)
: infectious disease, bacteria, antibiotic resistance, virulence, fitness, transmission, mathematical modelling, mutation, plasmid
Contract/Grant agreement number :
: 241476
Project web-site


Antibiotic resistance represents a rapidly growing global health problem caused by the use and misuse of antibiotics and spread of resistant bacteria as well as the lack of industrial development of new antibiotics. The urgency of the resistance problem makes the development of experimental and theoretical tools and methods to understand and predict (and by inference prevent) the development of antibiotic resistance a high priority. This project aims to describe and predict the dynamics of antibiotic resistance development at the level of the drug target, the microbe and the host.. The obtained results will have general biological implications with regard to molecular evolution and bacterial adaptation, virulence and transmission. Most importantly, our results will generate strategies to reduce the rate of resistance of development


The intensive use and misuse of antibiotics have resulted in antibiotic resistance among many human pathogens and there is a growing concern that the loss of therapeutic options will present us with a post-antibiotic era where present and future medical advances are negated. Resistant bacteria dramatically reduce the possibilities of treating infections effectively and increase the risk of complications and fatal outcome for patients with severe infections. Thus, antibiotic resistance represents a major public health concern and economic problem both within EU and globally.

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