dc.description.abstract |
A Gram-negative, non-motile bacterium called Klebsiella pneumoniae poses a severe
threat to the public's health and frequently causes opportunistic infections in hospital
patients that are resistant to antibiotics. It is a widespread bacterium that is a major
cause of multidrug-resistant health-related infections. K. pneumoniae is usually found
in the gastrointestinal system in humans, with a few unusual cases in the nasophryrnx
where it can infect other tissues and enter into bloodstream leading illness. In the pre antibiotic period, Klebsiella pneumoniae was a significant pathogen of community acquired pneumonia (CAP), particularly in diabetics and those who consume alcohol.
Major community-acquired hypervirulent Kp disorder, commonly characterized as a
pyogenic liver abscess with associated bacteremia, but also meningitis, brain abscess,
or opthalmitis1, has emerged in the past three decades. Since then, Carbapenem resistant K. pneumoniae (CRKP) has been regularly detected in various nosocomial
settings around the world. A wide range of antibiotics, such as β-lactams and
aminoglycosides, are involved in controlling and treating K. pneumoniae-related
infections. The presence of a substantial number of fully sequenced genomes of
Klebsiella pneumoniae has created a chance to investigate the specie’s pan genomes
as well as phylogenetic history and to establish fresh innovative drug targets
contributing to drug discovery efforts. In order to identify primary drug targets that
are susceptible to antibiotics, this study uses a bioinformatics framework that includes
pan-genomics, subtractive proteomics, and reverse vaccination strategies. In this
study, pangenome analysis and subtractive proteomics were performed on the 560
complete genomes that make up the pangenome of this concerning pathogen.
Additionally, subtractive proteomics apply with subsequent filters such as (non human homology, essentiality assessment, virulence evaluation, physiochemical
checks, and pathways analysis).Furthermore, the conserved core genome will undergo
several different filters, such as essentiality, non-homology, virulence,
physiochemical analysis, localization, and pathway analysis are applied to the core
proteome (617 proteins), resulting in the identification of five potential core drug
targets with a wide therapeutic window. Additionally, the FDA's molecular docking
analysis of these drugs targets five promising ligands that were found using both
approved and unapproved ligands from the Drug Bank database namely
Phosphoaminophosphonic Acid-Adenylate Ester, formic acid, Vitamin E, Thymidine
cyclophosphate, and Doxorubicin. Future research could experimentally validate the
potential drug targets, helping with the development of new medications. |
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