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Molecular epidemiology of antibiotic-resistant genes and potent inhibitors against TEM,CTX-M-14, CTX-M-15, and SHV-1 proteins of Escherichia coli in district Peshawar,Pakistan
Authors:Noor Rehman  Sadiq Azam  Amjad Ali  Ibrar khan  Muhammad Asghar  Momena Ali  Muhammad Waqas  Farman Ullah  Gul e Sehra
Institution:1. Centre of Biotechnology and Microbiology, University of Peshawar, Pakistan;2. Department of Biotechnology & Genetic Engineering, Hazara University, Mansehra, Pakistan;3. Department of Genetics, Hazara University Mansehra, Pakistan;4. Department of Pathology, Khyber Teaching Hospital, Peshawar, Pakistan;5. Department of Pharmacy, Kohat University of Science and Technology, Kohat, Pakistan
Abstract:The Extended Spectrum Beta-Lactamases (ESBLs) producing bacteria is an issue of concern for clinicians resulting in minimize the treatment options. To overcome resistance mechanisms, novel inhibitors with good Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties must inhibit the ESBLs resistant genes. The current study aimed to identify the antibiotic resistance genes of ESBLs producing E. coli and a single inhibitor was designed to inhibit all the resistant proteins. The results showed that 42.9% ESBL producers had CTX-M (69.9%), TEM (63.4%), SHV (34.5%) and CTX-M-14 (17.5%) genes. The ESBLs producing isolates were resistant to cephalosporins, quinolones, and sulfonamide with Minimum Inhibitory Concentration (MICs) ranging from 64 to >256 μg/ml. To design multi inhibitory ligands, RECAP synthesis was used for the de-novo discovery of 1000 inhibitors database. Protein crystal structures were retrieved from Protein Data Base (PDB). Lipinski’s rules of five were applied to the novel inhibitors database to improve the ADMET properties. The novel inhibitors database was selected for docking simulations. Placement of the ligand was used by the London dG algorithm implemented in Molecular Operating Environment (MOE), while GBVI/WSA dG algorithm was used for final refinement. Based on docking score, visual inspection of ligands interaction with key residues, binding affinity, and binding energy of ligands with proteins, ten compounds were selected for ESBLs proteins with best ADMET properties, binding energy, and binding affinity the reported ones. These hits compounds have unique scaffolds and are predicted to be a starting point for developing potent inhibitors against antibiotic-resistant proteins.
Keywords:Antibiotic-resistant genes  Drug designing  RECAP synthesis  Docking simulation  Potent inhibitors
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