@article{299edefcae524e24b7d14d08b92b3352,
title = "Immunogenomics guided design of immunomodulatory multi-epitope subunit vaccine against the SARS-CoV-2 new variants, and its validation through in silico cloning and immune simulation",
abstract = "Reports of the novel and more contagious strains of SARS-CoV-2 originating in different countries have further aggravated the pandemic situation. The recent substitutions in spike protein may be critical for the virus to evade the host's immune system and therapeutics that have already been developed. Thus, this study has employed an immunoinformatics pipeline to target the spike protein of this novel strain to construct an immunogenic epitope (CTL, HTL, and B cell) vaccine against the new variant. Our investigation revealed that 12 different epitopes imparted a critical role in immune response induction. This was validated by an exploration of physiochemical properties and experimental feasibility. In silico and host immune simulation confirmed the expression and induction of both primary and secondary immune factors such as IL, cytokines, and antibodies. The current study warrants further lab experiments to demonstrate its efficacy and safety.",
keywords = "Immune simulation, In silico cloning, New variant, SARS-CoV-2, Vaccine designing",
author = "Abbas Khan and Shahzeb Khan and Shoaib Saleem and N. Nizam-Uddin and Anwar Mohammad and Taimoor Khan and Sajjad Ahmad and Muhammad Arshad and Ali, {Syed Shujait} and Muhammad Suleman and Wei, {Dong Qing}",
note = "Funding Information: Dong-Qing Wei is supported by grants from the Key Research Area Grant 2016YFA0501703 of the Ministry of Science and Technology of China, the National Science Foundation of China (Grant No. 32070662 , 61832019 , 32030063 ), the Science and Technology Commission of Shanghai Municipality (Grant No.: 19430750600 ), the Natural Science Foundation of Henan Province ( 162300410060 ), as well as SJTU JiRLMDS Joint Research Fund and Joint Research Funds for Medical and Engineering and Scientific Research at Shanghai Jiao Tong University ( YG2017ZD14 ). The computations were partially performed at the Pengcheng Lab. and the Center for High-Performance Computing, Shanghai Jiao Tong University. Funding Information: Dong-Qing Wei is supported by grants from the Key Research Area Grant 2016YFA0501703 of the Ministry of Science and Technology of China, the National Science Foundation of China (Grant No. 32070662, 61832019, 32030063), the Science and Technology Commission of Shanghai Municipality (Grant No.: 19430750600), the Natural Science Foundation of Henan Province (162300410060), as well as SJTU JiRLMDS Joint Research Fund and Joint Research Funds for Medical and Engineering and Scientific Research at Shanghai Jiao Tong University (YG2017ZD14). The computations were partially performed at the Pengcheng Lab. and the Center for High-Performance Computing, Shanghai Jiao Tong University. Publisher Copyright: {\textcopyright} 2021",
year = "2021",
month = jun,
doi = "10.1016/j.compbiomed.2021.104420",
language = "English",
volume = "133",
pages = "104420",
journal = "Computers in Biology and Medicine",
issn = "0010-4825",
publisher = "Elsevier Ltd",
}