Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/26988
Title: Computational Design of a Vaccine for Acinetobacter baumannii
Authors: HABIBA ASAD
Keywords: Bioinformatics
Issue Date: 2020
Publisher: Quaid I Azam University Islamabad
Abstract: Acillelobacter balll1lclllllii is known to cause urinary and respiratory tract inrections, nosocomial pneumonia, meningitis, skin and wound inrections in human. Therefore, ror gcnerating long-term imlllunity against A.baumClllllii infection, a holistic approach is needed. Consequently, the immunointormatics method was applied to dcsign the multi-epitope subunit vaccine construct consisting of Band T cell epitopcs based on pathogen protein. In addition, the physiochcmical characterization was performed to verify the vaccine construct's molecular weight and thermostable design. The allergicity and antigenicity were predicted to ensure thc protection and immunogenic activity of the final vaccine model. This study provides computational validation to ensure the proposed vaccine construct's irnmullogcnicity and safety profile, which may be beneficial in managing A.baumCllll1ii infection.
URI: http://hdl.handle.net/123456789/26988
Appears in Collections:BS

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