title: Gene Network Analysis of Metallo Beta Lactamase Family Proteins Indicates the Role of Gene Partners in Antibiotic Resistance and Reveals Important Drug Targets.
abstract: Metallo Beta (β) Lactamases (MBL) are metal dependent bacterial enzymes that hydrolyze the β-lactam antibiotics. In recent years, MBL have received considerable attention because it inactivates most of the β-lactam antibiotics. Increase in dissemination of MBL encoding antibiotic resistance genes in pathogenic bacteria often results in unsuccessful treatments. Gene interaction network of MBL provides a complete understanding on the molecular basis of MBL mediated antibiotic resistance. In our present study, we have constructed the MBL network of 37 proteins with 751 functional partners from pathogenic bacterial spp. We found 12 highly interconnecting clusters. Among the 37 MBL proteins considered in the present study, 22 MBL proteins are from B3 subclass, 14 are from B1 subclass and only one is from B2 subclass. Global topological parameters are used to calculate and compare the probability of interactions in MBL proteins. Our results indicate that the proteins associated within the network have a strong influence in antibiotic resistance mechanism. Interestingly, several drug targets are identified from the constructed network. We believe that our results would be helpful for researchers exploring MBL-mediated antibiotic resistant mechanisms.
authors.affiliation: Medical and Biological Computing Laboratory, School of Biosciences and Technology, VIT University, Vellore, 632014, Tamil Nadu, India.
authors.forename: Anitha
authors.initials: A
authors.lastname: Parimelzaghan
authors.affiliation: Medical and Biological Computing Laboratory, School of Biosciences and Technology, VIT University, Vellore, 632014, Tamil Nadu, India.
authors.forename: Anand
authors.initials: A
authors.lastname: Anbarasu
authors.affiliation: Medical and Biological Computing Laboratory, School of Biosciences and Technology, VIT University, Vellore, 632014, Tamil Nadu, India.
authors.forename: Sudha
authors.initials: S
authors.lastname: Ramaiah
mesh_terms: D000900:Anti-Bacterial Agents / Q000494:pharmacology; D001419:Bacteria / Q000187:drug effects / Q000378:metabolism; D016000:Cluster Analysis; D019295:Computational Biology / Q000379:methods*; D004352:Drug Resistance, Microbial / Q000187:drug effects; D053263:Gene Regulatory Networks / Q000187:drug effects; D005798:Genes, Bacterial; D001618:beta-Lactamases / Q000378:metabolism*
chemical_list: D000900:Anti-Bacterial Agents; D001618:beta-Lactamases
keywords: ANTIBACTERIAL TARGETS; ANTIBIOTICS RESISTANCE; CLUSTERS; FUNCTIONAL PARTNERS; METALLO β-LACTAMASE PROTEINS