TY  - JOUR
AU  - Srivastava, Sukrit
AU  - Verma, Sonia
AU  - Kamthania, Mohit
AU  - Agarwal, Deepa
AU  - Saxena, Ajay Kumar
AU  - Kolbe, Michael
AU  - Singh, Sarman
AU  - Kotnis, Ashwin
AU  - Rathi, Brijesh
AU  - Nayar, Seema A.
AU  - Shin, Ho-Joon
AU  - Vashisht, Kapil
AU  - Pandey, Kailash C.
TI  - Computationally validated SARS-CoV-2 CTL and HTL Multi-Patch vaccines, designed by reverse epitomics approach, show potential to cover large ethnically distributed human population worldwide
JO  - Journal of biomolecular structure & dynamics
VL  - 40
IS  - 5
SN  - 0739-1102
CY  - Abingdon [u.a.]
PB  - Taylor & Francis
M1  - PUBDB-2024-00589
SP  - 2369 - 2388
PY  - 2022
AB  - The SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) is responsible for the COVID-19 outbreak. The highly contagious COVID-19 disease has spread to 216 countries in less than six months. Though several vaccine candidates are being claimed, an effective vaccine is yet to come. A novel reverse epitomics approach, ‘overlapping-epitope-clusters-to-patches’ method is utilized to identify the antigenic regions from the SARS-CoV-2 proteome. These antigenic regions are named as ‘Ag-Patch or Ag-Patches’, for Antigenic Patch or Patches. The identification of Ag-Patches is based on the clusters of overlapping epitopes rising from SARS-CoV-2 proteins. Further, we have utilized the identified Ag-Patches to design Multi-Patch Vaccines (MPVs), proposing a novel method for the vaccine design. The designed MPVs were analyzed for immunologically crucial parameters, physiochemical properties and cDNA constructs. We identified 73 CTL (Cytotoxic T-Lymphocyte) and 49 HTL (Helper T-Lymphocyte) novel Ag-Patches from the proteome of SARS-CoV-2. The identified Ag-Patches utilized to design MPVs cover 768 overlapping epitopes targeting 55 different HLA alleles leading to 99.98
LB  - PUB:(DE-HGF)16
C6  - 33155524
UR  - <Go to ISI:>//WOS:000586073100001
DO  - DOI:10.1080/07391102.2020.1838329
UR  - https://bib-pubdb1.desy.de/record/602314
ER  -