ArticlePloS one2022
Subtractive genomics profiling for potential drug targets identification against Moraxella catarrhalis.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 35 citations in OpenAlex.
- SURE-Pipe: a pipeline to compare genomes and extract shared and unique regions.NAR genomics and bioinformatics · 2026Article
- Subtractive proteomics-assisted putative drug target and inhibitor identification: a study based on six Candida species.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Integrative genomics and structural bioinformatics uncovers AMR-associated drug targets and pqsH inhibitors in multidrug-resistant Pseudomonas aeruginosa JJPA01.Molecular diversity · 2026Article
- Comparative and Subtractive Genomics Analysis of Multidrug-ResistantInternational journal of microbiology · 2026Article
- Computational Strategies in Drug Discovery: Leveraging Subtractive Genomic Analysis for Target Identification.Current pharmaceutical biotechnology · 2025Review
- Discovery of novel targets for important human and plant fungal pathogens via an automated computational pipeline HitList.PloS one · 2025Article
- Combatting antibiotic resistance in Gardnerella vaginalis: A comparative in silico investigation for drug target identification.PloS one · 2025Article
- Subtractive genomics and drug repurposing strategies for targetingFrontiers in microbiology · 2025Article
- Integrated subtractive genomics and structure-based approach to unravel the therapeutic drug target of Leishmania species.Archives of microbiology · 2024Article
- Immunoinformatic prediction to identifyVeterinary world · 2024Article
- Subtractive genomics study of Xanthomonas oryzae pv. Oryzae reveals repurposable drug candidate for the treatment of bacterial leaf blight in rice.Journal, genetic engineering & biotechnology · 2024Article
- Identification of repurposable drug targets inHeliyon · 2023Article
- Molecular dynamics and simulation analysis against superoxide dismutase (SOD) target ofSaudi journal of biological sciences · 2023Article
- Integrated Bioinformatics-Based Subtractive Genomics Approach to Decipher the Therapeutic Drug Target and Its Possible Intervention against Brucellosis.Bioengineering (Basel, Switzerland) · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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