Literature DB >> 26517410

Gene Network Analysis of Metallo Beta Lactamase Family Proteins Indicates the Role of Gene Partners in Antibiotic Resistance and Reveals Important Drug Targets.

Anitha Parimelzaghan1, Anand Anbarasu1, Sudha Ramaiah1.   

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.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  ANTIBACTERIAL TARGETS; ANTIBIOTICS RESISTANCE; CLUSTERS; FUNCTIONAL PARTNERS; METALLO β-LACTAMASE PROTEINS

Mesh:

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Year:  2015        PMID: 26517410     DOI: 10.1002/jcb.25422

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  3 in total

1.  Unlocking Survival Mechanisms for Metal and Oxidative Stress in the Extremely Acidophilic, Halotolerant Acidihalobacter Genus.

Authors:  Himel Nahreen Khaleque; Homayoun Fathollazadeh; Carolina González; Raihan Shafique; Anna H Kaksonen; David S Holmes; Elizabeth L J Watkin
Journal:  Genes (Basel)       Date:  2020-11-24       Impact factor: 4.096

2.  Proteomic Analyses of Acinetobacter baumannii Clinical Isolates to Identify Drug Resistant Mechanism.

Authors:  Ping Wang; Ren-Qing Li; Lei Wang; Wen-Tao Yang; Qing-Hua Zou; Di Xiao
Journal:  Front Cell Infect Microbiol       Date:  2021-02-24       Impact factor: 5.293

3.  Amalgamation of 3D structure and sequence information for protein-protein interaction prediction.

Authors:  Kanchan Jha; Sriparna Saha
Journal:  Sci Rep       Date:  2020-11-05       Impact factor: 4.379

  3 in total

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