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Immunology to Immunotherapeutics of SARS-CoV-2: Identification of Immunogenic Epitopes for Vaccine Development.
Pandey, Apoorva; Madan, Riya; Singh, Swati.
  • Pandey A; Indian Council of Medical Research, V. Ramalingaswami Bhawan, Ansari Nagar, P.O. Box No. 4911, New Delhi, 110029, India.
  • Madan R; Indian Institute of Science Education and Research (IISER) Mohali, Knowledge City, Sector 81, Sahibzada Ajit Singh Nagar, Punjab, 140306, India.
  • Singh S; Department of Zoology, University of Delhi, Delhi, 110007, India. singhswati.mh@gmail.com.
Curr Microbiol ; 79(10): 306, 2022 Sep 05.
Article in English | MEDLINE | ID: covidwho-2007134
ABSTRACT
The emergence of COVID19 pandemic caused by SARS-CoV-2 virus has created a global public health and socio-economic crisis. Immunoinformatics-based approaches to investigate the potential antigens is the fastest way to move towards a multiepitope-based vaccine development. This review encompasses the underlying mechanisms of pathogenesis, innate and adaptive immune signaling along with evasion pathways of SARS-CoV-2. Furthermore, it compiles the promiscuous peptides from in silico studies which are subjected to prediction of cytokine milieu using web-based servers. Out of the 434 peptides retrieved from all studies, we have identified 33 most promising T cell vaccine candidates. This review presents a list of the most potential epitopes from several proteins of the virus based on their immunogenicity, homology, conservancy and population coverage studies. These epitopes can form a basis of second generation of vaccine development as the first generation vaccines in various stages of trials mostly focus only on Spike protein. We therefore, propose them as most potential candidates which can be taken up immediately for confirmation by experimental studies.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Viral Vaccines / COVID-19 Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Curr Microbiol Year: 2022 Document Type: Article Affiliation country: S00284-022-03003-3

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Viral Vaccines / COVID-19 Type of study: Prognostic study Topics: Vaccines Limits: Humans Language: English Journal: Curr Microbiol Year: 2022 Document Type: Article Affiliation country: S00284-022-03003-3