1Ph.D. Scholar, Division of Veterinary Biotechnology, Indian Veterinary Research Institute, Izatnagar-243122, Bareilly, Uttar Pradesh, India
2Research Associate, Division of Veterinary Biotechnology, Indian Veterinary Research Institute, Izatnagar-243122, Bareilly, Uttar Pradesh, India
3Post Graduate Trainee, Khandelwal College of Management, Science and Technology, Bareilly, Uttar Pradesh, India
4Senior Technical Officer, Facility for Research and Training on Bioassays and Biosensors, Division of Veterinary Biotechnology, Indian Veterinary Research Institute, Izatnagar-243122, Bareilly, Uttar Pradesh, India
5Senior Scientist, Division of Veterinary Biotechnology, Indian Veterinary Research Institute, Izatnagar-243122, Bareilly, Uttar Pradesh, India
*Corresponding author E-mail id: sameer.shrivastava@icar.gov.in, sameer_vet@rediffmail.com
Online published on 7 March, 2023.
Owing to gradual rise in multidrug-resistant (MDR) pathogens, antimicrobial resistance has become a major challenge and demands discovery of new antimicrobials to tackle this global health threat. To this end, we report a synthetic cationic peptide of 17 amino acids identified in tail protein of Pseudomonas phage with the help of Artificial intelligence (AI). The peptide was chemically synthesized and tested for its activity against Pseudomonas aeruginosa, which were isolated from clinical mastitic milk samples and initially characterized for resistance to antibiotics. The minimum inhibitory concentration (MIC) of synthesized peptide against standard strain of Pseudomonas aeruginosa (ATCC 27853) was found to be 60 µM. Then the peptide at MIC, 2×MIC, and 4×MIC concentration were tested against clinical isolates resistant to different antibiotics and it was observed that 75% isolates showed >90% inhibition at 4×MIC. This peptide showed <10% hemotoxicity and was stable in presence of physiological concentrations of different salts.
Synthetic peptide, Pseudomonas aeruginosa, Antimicrobial resistance, Artificial intelligence
