Healthcare-associated infections (HAI) are a serious public health problem. Among the pathogens related to HAI, the group of bacteria is the one that stands out. According to the Brazilian Health Surveillance Agency (ANVISA) March 2014's Health Services Quality and Patient Safety Bulletin, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter spp. and Pseudomonas aeruginosa are the main pathogens associated with catheter-related bloodstream infections in adult patients hospitalized at Brazilian intensive care units. The antimicrobial resistance associated with these infections has been considered one of the main challenges of mankind in the 21st century. Its incidence has been increasing at alarming levels, leading to loss of effectiveness of antimicrobial agents, increased morbimortality and hospitalization time of patients.

 

One of the research approaches used in biology for the construction of knowledge is the empirical one, executed with observable experiments and without inferring the dynamicity around the biological system. On the other hand, there are theoretical approaches that aim to construct mathematical models which, although accurate, often do not represent in a reliable way the real biological system. When these two approaches are considered in a close interrelationship, as systems biology proposes, the results are much more promising.
 
 
Understanding how complex phenotypes arise from individual molecules and their interactions are a primary challenge in biology and, to tackle this challenge, computational approaches are increasingly employed. The research group on Computational Modeling of Multidrug-resistant Bacteria proposes the creation of innovative models, techniques and computational methods to identify new potential therapeutic targets in multidrug-resistant bacteria using a systems biology approach. The multidisciplinarity and complementarity of competences are strengths of this group, and these characteristics are indispensable for the group's objectives to be fully achieved. This research group is registered with CNPq and certified by FIOCRUZ.