Pseudomonas aeruginosa is an opportunistic human pathogen highly relevant from a biomedical viewpoint. It is one of the main causes of infection in hospitalized patients and a major cause of mortality of cystic fibrosis patients. This is also due to its ability to develop resistance to antibiotics by various mechanisms. Therefore, it is urgent and desirable to identify novel targets for the development of new antibacterial drugs against Pseudomonas aeruginosa. In this work this problem was tackled by an in silico approach aimed at providing a reliable structural model and functional annotation for the Pseudomonas aeruginosa periplasmic proteins for which these data are not available yet. A total of 83 protein sequences were analyzed, and the corresponding structural models were built, leading to the identification of 32 periplasmic 'substrate-binding proteins', 14 enzymes and 4 proteins with different functions, including lipids and metals binding. The most interesting cases were found within the 'enzymes' group with the identification of a lipase, which can be regarded as a virulence factor, a protease involved in the assembly of β-barrel membrane proteins and a l,d-transpeptidase, which could contribute to confer resistance to β-lactam antibiotics to the bacterium.Communicated by Ramaswamy H. Sarma.
Keywords: Pseudomonas aeruginosa; drug targets; molecular modeling; periplasmic proteins; protein function recognition.