In silicodesigning of a multitope vaccine againstRhizopusmicrospores
T.C. Venkateswarulu,
Asra Tasneem Shaik,
Druthi Sri Meduri,
Vajiha Vajiha,
Kalyani Dhusia and
Abraham Peele
Arab Gulf Journal of Scientific Research, 2023, vol. 42, issue 3, 942-958
Abstract:
Purpose - Mucorales has been described to be widely distributed during the most recent COVID-19 pandemic, with a greater frequency of disease in India, particularly among those with immune deficiencies. This study aims to use computational tools to develop a vaccine. Design/methodology/approach - The authors investigated at Mucorales proteins that had previously been associated to virulence factors. Recent research suggests that a vaccine based on high-level cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL) and B-cell lymphocyte (BCL) epitopes from diverse proteins might be developed. Furthermore, the vaccine assembly contains the targeted epitopes as well as PADRE peptides to induce an immune response. Computational approaches were used to analyze the immunological parameters used to build the suggested vaccine and validate its TLR-3 binding. Findings - These studies show that the vaccination is capable of triggering a particular immune response. The authors offer a technique for developing and evaluating candidate vaccines using computational tools. To the best of their knowledge, this is the first immunoinformatic research of a prospective mucormycosis vaccine. Originality/value - During this audit, a successful attempt was made to create a subunit MEV against black fungus. In the current study, MEV has been proposed as a suitable neutralizer candidate since it is immunogenic, secure, stable and interacts with human receptors. A stream study, on the other hand, is produced via a mixed vaccinosis approach. Following that, vaccinologists may perform more exploratory testing to evaluate whether the vaccine is effective.
Keywords: Multi-epitope; Vaccine development; B-cells epitope; T-cells epitopes; Molecular docking (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eme:agjsrp:agjsr-11-2022-0274
DOI: 10.1108/AGJSR-11-2022-0274
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