Multi-drug resistant Pseudomonas aeruginosa: a threat of nosocomial infections in tertiary care hospitals

To determine the resistance patterns of Pseudomonas aeruginosa to currently available anti-pseudomonal drugs and frequency of nosocomial infections caused by multi drug resistant Pseudomonas aeruginosa in hospitals. Clinical isolates of Pseudomonas aeruginosa were collected from patients admitted in different hospitals of Karachi between July 2012 and June 2013. The isolates were identified by conventional and Analytical Profile Index 20NE kit methods while the antibiograms of these isolates were determined by Kirby- Bauer disc diffusion method. Of the 204 isolates, 79[39%] were obtained from intensive care units. Overall, 135[66%] isolates belonged to men, and 35[17.2%] belonged to 10-15 year age group. The overall antibiogram pattern showed high resistance to commonly used antibiotics like Ofloxacin 125[61.3%], Cefepime 117[57.3%], Ceftazidime 110[53.9%], Amikacin 108[53%]. Of all the isolates, 129[63.2%] were considered multidrug resistant. The most effective antibiotics were Colistin, Polymyxin B and Meropenem. Increasing multidrug resistance among nosocomial pathogens is an alarming situation in a hospital setting and requires prompt management of these cases

Computational study on the geometry optimization and excited - state properties of riboflavin by arguslab 4.0.1

Riboflavin [vitamin B[2]] belongs to a group of respiratory enzymes that occur widely in animals and plants participating in vital oxidation- reduction processes in the body. A computational study was conducted on riboflavin by ArgusLab 4.0.1 to obtain the most active conformation of riboflavin and to analyze its excited-state properties. The best conformation of riboflavin was found to be -199.2173 kcal/mol which is the minimum potential energy calculated by geometry convergence function by ArgusLab software; performed according to Hartree-Fock calculation method. Electronic transition states [ground and excited], were also calculated and visualized by semi-empirical ZINDO method by ArgusLab from which molecular properties such as energies, wave function and dipole moments were established. All the results obtained from geometry optimization and excited-state properties lead us to delineate the active sites with charged groups of riboflavin to interact with the receptors. Such types of investigations are significant for drug -receptor interactions

Conformational analysis [geometry optimization] of nucleosidic antitumor antibiotic showdomycin by arguslab 4 software

Showdomycin is a naturally maleimide antitumor antibiotic of the C-nucleoside, it inhibits the nucleic acid synthesis in bacteria. Conformational analysis and geometry optimization of showdomycin was performed according to the Hartree-Fock [HF] calculation method by ArgusLab 4.0.1 software. The minimum potential energy is calculated by geometry convergence function by ArgusLab software. The most feasible position for the drug to interact with the receptor was found to be -0.269696 K.cal/mole