Molecular characterization and epitope-based vaccine predictions for ompA gene associated with biofilm formation in multidrug-resistant strains of A.baumannii

The present study was conducted to molecularly characterize the biofilm associated ompA gene from the drug resistant strains of A. baumannii and its immuno-dominant vaccine epitope predictions through immuno-informatic approach. ompA was amplified by PCR from the genomic DNA and was sequenced. Using...

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Bibliographic Details
Published in:In silico pharmacology 2021-01, Vol.9 (1), p.15, Article 15
Main Authors: Sogasu, Deepthi, Girija, A. S. Smiline, Gunasekaran, Shoba, Priyadharsini, J. Vijayashree
Format: Article
Language:English
Subjects:
Biofilms
Biomedical and Life Sciences
Biomedical Engineering and Bioengineering
Biomedicine
Cellular and Medical Topics
Computational Science and Engineering
Deoxyribonucleic acid
DNA
Hydrogen bonds
Lymphocytes
Medicinal Chemistry
Multidrug resistant organisms
Original Research
Peptides
Pharmacology/Toxicology
Physiological
Proteins
Vaccines
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Summary:The present study was conducted to molecularly characterize the biofilm associated ompA gene from the drug resistant strains of A. baumannii and its immuno-dominant vaccine epitope predictions through immuno-informatic approach. ompA was amplified by PCR from the genomic DNA and was sequenced. Using the ORF, ompA protein sequence was retrieved and was subjected for IEDB T cell and B cell epitope analysis for the selection of the epitope peptides. Selected peptides were evaluated using appropriate servers and tools to assess the propensity for its antigenicity, solubility, physico-chemical property, toxigenicity and class-I immunogenicity. MHC class I and II restriction of HLA alleles was also performed. 48% (n = 24) of the strains possessed ompA gene. Protein structure was successfully retrieved with the selection of two epitopes viz., E1- FDGVNRGTRGTSEEGTLGNA and E2-KLSEYPNATARIEGHTDNTGPRKL. Final docking with TLR-2, showed E2 as the best epitope candidate predicted with the highest number of hydrogen bonds.
ISSN:2193-9616
2193-9616
DOI:10.1007/s40203-020-00074-7