scholarly journals Identification of potential candidates for drug designing against Klebsiella Pneumoniae among hypothetical proteins of DNA Adenine Methyltransferase through subtractive genomics approach

2020 ◽  
Author(s):  
Umairah Natasya Mohd Omeershffudin ◽  
Suresh Kumar
Keyword(s):  
Klebsiella Pneumoniae ◽  
Drug Target ◽  
Bacterial Pathogens ◽  
Hypothetical Proteins ◽  
Homology Analysis ◽  
Subtractive Genomics ◽  
Natural Inhibitor ◽  
Subtractive Genomics Approach ◽  
Dna Adenine Methyltransferase ◽  
Selection Of

ABSTRACTKlebsiella Pneumoniae is a gram-negative bacterium that is known for causing infection in nosocomial settings. As reported by WHO, this bacterial pathogen is classified as an urgent threat our most concern is that these bacterial pathogens acquired genetic traits that make them resistant towards antibiotics. The last class of antibiotics; carbapenems are not able to combat these bacterial pathogens allowing them to clonally expand their antibiotic-resistant strain. Most antibiotics target the essential pathways of the bacteria cell however these targets are no longer susceptible to the antibiotic. Hence in our study, we focus on Klebsiella Pneumoniae bacterial strains that contain DNA Adenine Methyltransferase domain which suggests a new potential site for a drug target. DNA methylation is seen to regulate the attenuation of bacterial virulence. In this study, all hypothetical proteins of Klebsiella Pneumoniae containing N6 DNA Adenine Methyltransferase domain were analysed for a potential drug target. About 32 hypothetical proteins were retrieved from Uniprot. 19 proteins were selected through a step-wise subtractive genomics approach like a selection of non-homologus proteins against the human host, selection of bacterial proteins contains an essential gene, broad-spectrum analysis, druggability analysis, Non-homology analysis against gut microbiota. Through drug target prioritization like sub-cellular analysis, drug property analysis, anti-target non-homology analysis, virulence factor analysis and protein-protein interaction analysis one drug target protein (Uniprot ID: A0A2U0NNR3) was prioritized. Identified drug target docked with potential inhibitors like are mahanine (PubChem ID: 375151), curcumin (PubChem ID: 969516), EGCG (PubChem ID: 65064), nanaomycin A (PubChem ID: 40586), parthenolide (PubChem ID: 7251185), quercetin (PubChem ID: 5280343) and trimethylaurintricarboxylic acid. Based on the moelcular docking analysis, mahanine has the highest binding affinity. In order to identify novel natural inhibitor based on mahanine fingerprint search is performed against NPASS (Natural Product Activity and Species Source databases) and Koenimbine was identified as a novel natural inhibitor based on virtual screening.

scholarly journals Subtractive genomics approach in identifying polysacharide biosynthesis protein as novel drug target against Eubacterium nodatum

2019 ◽  
Vol 5 (2) ◽  
pp. 382-392 ◽  
Author(s):  
Shilpa S. Shiragannavar ◽  
Arun K. Shettar ◽  
Shivakumar B. Madagi ◽  
Sunanda Sarawad
Keyword(s):  
Drug Target ◽  
Subtractive Genomics ◽  
Subtractive Genomics Approach ◽  
Novel Drug

scholarly journals Virtual Screening and Docking Studies of Identified Potential Drug Target: Polysaccharide Deacetylase in Bacillus anthracis

2015 ◽  
Vol 34 ◽  
pp. 70-77
Author(s):  
K. Zaveri ◽  
A. Krishna Chaitanya ◽  
I. Bhaskar Reddy
Keyword(s):  
Virtual Screening ◽  
Bacillus Anthracis ◽  
Drug Target ◽  
Drug Targets ◽  
Docking Studies ◽  
Potential Drug Target ◽  
Potential Drug ◽  
Subtractive Genomics ◽  
Subtractive Genomics Approach ◽  
Novel Drug

In recent years, insilico approaches have been predicting novel drug targets. The present day development in pharmaceutics mainly ponders on target based drugs and this has been aided by structure based drug designing and subtractive genomics. In the present study, the computational genome subtraction methodology was applied for identification of novel, potential drug target against Bacillus anthracis, cause of deadly anthrax. The potential drug target identified through subtractive genomics approach was considered as polysaccharide deacetylase. By virtual screening against NCI database and Drugbank chemical libraries, two potential lead molecules were predicted. Further the potential lead molecules and target protein were subjected for docking studies using Autodock.

The Study of Bacillus Subtils Antimicrobial Activity on Some of the Pathological Isolates

2019 ◽  
Vol 9 (02) ◽  
Author(s):  
Hussein A Kadhum ◽  
Thualfakar H Hasan2
Keyword(s):  
Staphylococcus Aureus ◽  
Pseudomonas Aeruginosa ◽  
Antimicrobial Activity ◽  
Bacillus Subtilis ◽  
Bacterial Growth ◽  
Broad Spectrum ◽  
Inhibitory Activity ◽  
Bacterial Pathogens ◽  
Inhibitory Ability ◽  
Selection Of

The study involved the selection of two isolates from Bacillus subtilis to investigate their inhibitory activity against some bacterial pathogens. B sub-bacteria were found to have a broad spectrum against test bacteria such as Staphylococcus aureus and Pseudomonas aeruginosa. They were about 23-30 mm and less against Klebsiella sp. The sensitivity of some antibodies was tested on the test samples. The results showed that the inhibitory ability of bacterial growth in the test samples using B. subtilis extract was more effective than the antibiotics used.

scholarly journals Effect of Dimethyl Sulphoxide on the Expression of Nitrogen Fixation in Bacteria

1977 ◽  
Vol 30 (2) ◽  
pp. 141 ◽  
Author(s):  
Mary L Skotnicki ◽  
Barry G Rolfe
Keyword(s):  
Escherichia Coli ◽  
Nitrogen Fixation ◽  
Energy Metabolism ◽  
Membrane Proteins ◽  
Klebsiella Pneumoniae ◽  
Dimethyl Sulphoxide ◽  
Rhizobium Trifolii ◽  
Nif Genes ◽  
E Coli ◽  
Selection Of

Storage in dimethyl sulphoxide (DMSO) of Escherichia coli K12 hybrids carrying nif+ genes from Klebsiella pneumoniae can result in selection of a defective nitrogen-fixing phenotype. Similar results are obtained with E. coli K12 hybrids containing the nitrogep-fixing capacity from Rhizobium trifolii. DMSO appears to affect particular inner membrane proteins associated with energy metabolism in E. coli K12 and four chromosomal regions (chID, chlG, his and unc) are associated with resistance to DMSO.

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