Design an Efficient Multi-Epitope Peptide Vaccine Candidate Against SARS-CoV-2: An in silico Analysis

被引:36
作者
Yazdani, Zahra [1 ]
Rafiei, Alireza [1 ]
Yazdani, Mohammadreza [2 ]
Valadan, Reza [1 ]
机构
[1] Mazandaran Univ Med Sci, Mol & Cell Biol Res Ctr, Sch Med, Dept Immunol, KM 18 Khazarabad Rd,Khazar Sq, Sari, Iran
[2] Isfahan Univ Technol, Dept Chem, Esfahan 8415683111, Iran
关键词
SARS-CoV-2; multi-epitope vaccine; structural proteins; humoral immunity; cellular immunity; adjuvant; PAN-SPECIFIC PREDICTION; FUSION PROTEIN; BACTERIAL FLAGELLIN; EFFECTIVE ADJUVANT; INNATE IMMUNITY; NEURAL-NETWORKS; CORONAVIRUS; BINDING; SEQUENCE; RECEPTOR;
D O I
10.2147/IDR.S264573
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background: To date, no specific vaccine or drug has been proven to be effective against SARS-CoV-2 infection. Therefore, we implemented an immunoinformatic approach to design an efficient multi-epitopes vaccine against SARS-CoV-2. Results: The designed-vaccine construct consists of several immunodominant epitopes from structural proteins of spike, nucleocapsid, membrane, and envelope. These peptides promote cellular and humoral immunity and interferon-gamma responses. Also, these epitopes have a high antigenic capacity and are not likely to cause allergies. To enhance the vaccine immunogenicity, we used three potent adjuvants: Flagellin of Salmonella enterica subsp. enterica serovar Dublin, a driven peptide from high mobility group box 1 as HP-91, and human beta-defensin 3 protein. The physicochemical and immunological properties of the vaccine structure were evaluated. The tertiary structure of the vaccine protein was predicted and refined by Phyre2 and Galaxi refine and validated using RAMPAGE and ERRAT. Results of ElliPro showed 246 sresidues from vaccine might be conformational B-cell epitopes. Docking of the vaccine with toll-like receptors (TLR) 3, 5, 8, and angiotensin-converting enzyme 2 approved an appropriate interaction between the vaccine and receptors. Prediction of mRNA secondary structure and in silico cloning demonstrated that the vaccine can be efficiently expressed in Escherichia coli. Conclusion: Our results demonstrated that the multi-epitope vaccine might be potentially antigenic and induce humoral and cellular immune responses against SARS-CoV-2. This vaccine can interact appropriately with the TLR3, 5, and 8. Also, it has a high-quality structure and suitable characteristics such as high stability and potential for expression in Escherichia coli.
引用
收藏
页码:3007 / 3022
页数:16
相关论文
共 108 条
[1]   ccSOL omics: a webserver for solubility prediction of endogenous and heterologous expression in Escherichia coli [J].
Agostini, Federico ;
Cirillo, Davide ;
Maria Livi, Carmen ;
Delli Ponti, Riccardo ;
Gaetano Tartaglia, Gian .
BIOINFORMATICS, 2014, 30 (20) :2975-2977
[2]   Conserved B and T cell epitopes prediction of ebola virus glycoprotein for vaccine development: An immuno-informatics approach [J].
Ahmad, Bilal ;
Ashfaq, Usman Ali ;
Rahman, Mahmood-ur ;
Masoud, Muhammad Shareef ;
Yousaf, Muhammad Zubair .
MICROBIAL PATHOGENESIS, 2019, 132 :243-253
[3]   Preliminary Identification of Potential Vaccine Targets for the COVID-19 Coronavirus (SARS-CoV-2) Based on SARS-CoV Immunological Studies [J].
Ahmed, Syed Faraz ;
Quadeer, Ahmed A. ;
McKay, Matthew R. .
VIRUSES-BASEL, 2020, 12 (03)
[4]   SARS-CoV-2 Vaccines: Status Report [J].
Amanat, Fatima ;
Krammer, Florian .
IMMUNITY, 2020, 52 (04) :583-589
[5]   Gapped sequence alignment using artificial neural networks: application to the MHC class I system [J].
Andreatta, Massimo ;
Nielsen, Morten .
BIOINFORMATICS, 2016, 32 (04) :511-517
[6]   Accurate pan-specific prediction of peptide-MHC class II binding affinity with improved binding core identification [J].
Andreatta, Massimo ;
Karosiene, Edita ;
Rasmussen, Michael ;
Stryhn, Anette ;
Buus, Soren ;
Nielsen, Morten .
IMMUNOGENETICS, 2015, 67 (11-12) :641-650
[7]  
[Anonymous], 2013, BIOL DIRECT, DOI DOI 10.1186/1745-6150-8-3062
[8]  
[Anonymous], 2009, BMC BIOINFORM, DOI DOI 10.1186/1471-2105-10-39443
[9]  
[Anonymous], 2016, INT J COMPUTER SCI I
[10]  
[Anonymous], 2020, J BIOMOL STRUCT DYN, DOI DOI 10.1080/07391102.2020.1751300