2022
DOI: 10.3390/molecules27072375
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Potential Immunogenic Activity of Computationally Designed mRNA- and Peptide-Based Prophylactic Vaccines against MERS, SARS-CoV, and SARS-CoV-2: A Reverse Vaccinology Approach

Abstract: The continued emergence of human coronaviruses (hCoVs) in the last few decades has posed an alarming situation and requires advanced cross-protective strategies against these pandemic viruses. Among these, Middle East Respiratory Syndrome coronavirus (MERS-CoV), Severe Acute Respiratory Syndrome coronavirus (SARS-CoV), and Severe Acute Respiratory Syndrome coronavirus-2 (SARS-CoV-2) have been highly associated with lethality in humans. Despite the challenges posed by these viruses, it is imperative to develop … Show more

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Cited by 14 publications
(19 citation statements)
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“… [13] . Future studies will reveal the safety and efficacy of prophylactic vaccine against coronaviruses [14] .…”
Section: Introductionmentioning
confidence: 99%
“… [13] . Future studies will reveal the safety and efficacy of prophylactic vaccine against coronaviruses [14] .…”
Section: Introductionmentioning
confidence: 99%
“…The availability of novel biological resources [ 30 , 31 ] is helpful in the design of novel therapeutics against human pathogens [ 32 , 33 ]. The shortlisting of highly antigenic target proteins and epitope sequences predicted against each protein of the HCMV were retrieved from the previously developed online resource [ 31 ], whereas the antigenic and non-antigenic proteins for each specie were identified with a VaxiJen threshold scoring system [ 34 ].…”
Section: Methodsmentioning
confidence: 99%
“…The performed allergenicity check helps to ensure the prevention of possible allergic responses in the host [ 32 ] during the vaccine designing procedures. Algpred v. 2.0 ( ; accessed on 27 September 2022) server [ 33 ] was utilized to evaluate allergenicity status of the proteins. The input sequence was added as a single letter amino acid code while the selected prediction approach was an amino acid composition based SVM module [ 33 ].…”
Section: Methodsmentioning
confidence: 99%
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“…Furthermore, designing vaccines based on computational techniques has proven its effectiveness, specificity, safety, and stability when compared to the conventional approaches to vaccine development (Ali et al, 2019 ; Khan et al, 2019a , b , 2021a , b ; Naz et al, 2021 ). Previously, immuno-informatic strategies have been widely adopted for designing vaccines against several pathogens, including human immunodeficiency virus 1, ebola virus, herpes simplex virus 1 and 2, human norovirus, SARS-CoV, Staphylococcus aureus, Shigella spp., and Candida auris (Nosrati et al, 2019 ; Hasan et al, 2020 ; Ismail et al, 2021 ; Khan et al, 2022a , b ). Previously, several strategies have been adopted to develop vaccines against the RVF virus, which include DNA vaccines (Lagerqvist et al, 2009 ), subunit vaccines (De Boer et al, 2010 ), virus replicon particle vaccines (Kortekaas et al, 2011 ), virus-like particles (VLPs) (Mandell et al, 2010 ), modified live vaccines (Habjan et al, 2008 ), virus vectored vaccines (Warimwe et al, 2016 ), inactivated vaccines (Pittman et al, 1999 ), and live attenuated vaccines (Morrill et al, 2013 ).…”
Section: Introductionmentioning
confidence: 99%