» Articles » PMID: 36006987

Subtractive Genomics Profiling for Potential Drug Targets Identification Against Moraxella Catarrhalis

Overview
Journal PLoS One
Date 2022 Aug 25
PMID 36006987
Authors
Affiliations
Soon will be listed here.
Abstract

Moraxella catarrhalis (M. catarrhalis) is a gram-negative bacterium, responsible for major respiratory tract and middle ear infection in infants and adults. The recent emergence of the antibiotic resistance M. catarrhalis demands the prioritization of an effective drug target as a top priority. Fortunately, the failure of new drugs and host toxicity associated with traditional drug development approaches can be avoided by using an in silico subtractive genomics approach. In the current study, the advanced in silico genome subtraction approach was applied to identify potential and pathogen-specific drug targets against M. catarrhalis. We applied a series of subtraction methods from the whole genome of pathogen based on certain steps i.e. paralogous protein that have extensive homology with humans, essential, drug like, non-virulent, and resistant proteins. Only 38 potent drug targets were identified in this study. Eventually, one protein was identified as a potential new drug target and forwarded to the structure-based studies i.e. histidine kinase (UniProt ID: D5VAF6). Furthermore, virtual screening of 2000 compounds from the ZINC database was performed against the histidine kinase that resulted in the shortlisting of three compounds as the potential therapeutic candidates based on their binding energies and the properties exhibited using ADMET analysis. The identified protein gives a platform for the discovery of a lead drug candidate that may inhibit it and may help to eradicate the otitis media caused by drug-resistant M. catarrhalis. Nevertheless, the current study helped in creating a pipeline for drug target identification that may assist wet-lab research in the future.

Citing Articles

Integrated subtractive genomics and structure-based approach to unravel the therapeutic drug target of Leishmania species.

Saha D, Jha A Arch Microbiol. 2024; 206(10):408.

PMID: 39299989 DOI: 10.1007/s00203-024-04118-w.


Immunoinformatic prediction to identify peptides that bind to CD8+ T-cells as potential vaccine candidates.

Bernhardt G, Bernhardt K, Shivappa P, Pinto J Vet World. 2024; 17(6):1413-1422.

PMID: 39077442 PMC: 11283606. DOI: 10.14202/vetworld.2024.1413-1422.


Subtractive genomics study of Xanthomonas oryzae pv. Oryzae reveals repurposable drug candidate for the treatment of bacterial leaf blight in rice.

Ahammad I, Jamal T, Lamisa A, Bhattacharjee A, Zinan N, Chowdhury M J Genet Eng Biotechnol. 2024; 22(1):100353.

PMID: 38494267 PMC: 10980872. DOI: 10.1016/j.jgeb.2024.100353.


Identification of repurposable drug targets in using subtractive genomics, molecular docking and dynamics simulation.

Chowdhury Z, Jamal T, Ahammad I, Bhattacharjee A, Lamisa A, Jani J Heliyon. 2023; 9(11):e21466.

PMID: 38034688 PMC: 10682543. DOI: 10.1016/j.heliyon.2023.e21466.


Molecular dynamics and simulation analysis against superoxide dismutase (SOD) target of with secondary metabolites from recognized by genome mining approach.

Bagewadi Z, Khan T, Gangadharappa B, Kamalapurkar A, Shamsudeen S, Yaraguppi D Saudi J Biol Sci. 2023; 30(9):103753.

PMID: 37583871 PMC: 10424208. DOI: 10.1016/j.sjbs.2023.103753.


References
1.
Gupta S, Padmanabhan B, Diene S, Lopez-Rojas R, Kempf M, Landraud L . ARG-ANNOT, a new bioinformatic tool to discover antibiotic resistance genes in bacterial genomes. Antimicrob Agents Chemother. 2013; 58(1):212-20. PMC: 3910750. DOI: 10.1128/AAC.01310-13. View

2.
Jalal K, Khan K, Ahmad D, Hayat A, Basharat Z, Abbas M . Pan-Genome Reverse Vaccinology Approach for the Design of Multi-Epitope Vaccine Construct against . Int J Mol Sci. 2021; 22(23). PMC: 8657462. DOI: 10.3390/ijms222312814. View

3.
Maurya P, Singh S, Mani A . Comparative genomic analysis of Rickettsia rickettsii for identification of drug and vaccine targets: tolC as a proposed candidate for case study. Acta Trop. 2018; 182:100-110. DOI: 10.1016/j.actatropica.2018.02.021. View

4.
Pires D, Blundell T, Ascher D . pkCSM: Predicting Small-Molecule Pharmacokinetic and Toxicity Properties Using Graph-Based Signatures. J Med Chem. 2015; 58(9):4066-72. PMC: 4434528. DOI: 10.1021/acs.jmedchem.5b00104. View

5.
Sudha R, Katiyar A, Katiyar P, Singh H, Prasad P . Identification of potential drug targets and vaccine candidates in Clostridium botulinum using subtractive genomics approach. Bioinformation. 2019; 15(1):18-25. PMC: 6651033. DOI: 10.6026/97320630015018. View