Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/1440
Title: A comparative genomics approach for shortlisting broad-spectrum drug targets in nontuberculous mycobacteria
Authors: Swain, A.
Gnanasekar, P.
Prava, J.
Rajeev, AC
Kesarwani, P.
Lahiri, C.
Pan, A.
Keywords: nontuberculous mycobacteria
core proteins
functional analysis
broad-spectrum targets
druggability
comparative genomics
Issue Date: 2021
Publisher: Mary Ann Liebert, Inc.
Citation: Swain, A., Gnanasekar, P., Prava, J., Rajeev, A. C., Kesarwani, P., Lahiri, C., & Pan, A. (2021). A comparative genomics approach for shortlisting broad-spectrum drug targets in nontuberculous mycobacteria. Microbial Drug Resistance, 27(2), 212-226.
Series/Report no.: ;212-226
Abstract: Many members of nontuberculous mycobacteria (NTM) are opportunistic pathogens causing several infections in animals. The incidence of NTM infections and emergence of drug-resistant NTM strains are rising world-wide, emphasizing the need to develop novel anti-NTM drugs. The present study is aimed to identify broad-spectrum drug targets in NTM using a comparative genomics approach. The study identified 537 core proteins in NTM of which 45 were pathogen specific and essential for the survival of pathogens. Furthermore, druggability analysis indicated that 15 were druggable among those 45 proteins. These 15 proteins, which were core proteins, pathogen-specific, essential, and druggable, were considered as potential broad-spectrum can-didates. Based on their locations in cytoplasm and membrane, targets were classified as drug and vaccine targets. The identified 15 targets were different enzymes, carrier proteins, transcriptional regulator, two-component system protein, ribosomal, and binding proteins. The identified targets could further be utilized by researchers to design inhibitors for the discovery of antimicrobial agents.
URI: http://10.9.150.37:8080/dspace//handle/atmiyauni/1440
ISSN: 1076-6294
Appears in Collections:01. Journal Articles

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