Bioinformatics analysis of epitope-based vaccine design against the novel SARS-CoV-2
Autor: | Ling-Li Tang, Yun-Feng Chang, Jie Zhou, Hong-Zhi Chen, Xin-Ling Yu, Xiang Wu |
---|---|
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Models Molecular Antigenicity Immunogen COVID-19 Vaccines Sequence analysis Bioinformatics Pneumonia Viral Short Report Epitopes T-Lymphocyte Sequence alignment Human leukocyte antigen Computational biology Biology Epitope lcsh:Infectious and parasitic diseases 03 medical and health sciences Betacoronavirus 0302 clinical medicine Immunogenicity Vaccine Viral Envelope Proteins MHC class I Humans lcsh:RC109-216 Amino Acid Sequence Peptide sequence Pandemics SARS-CoV-2 lcsh:Public aspects of medicine Public Health Environmental and Occupational Health COVID-19 Computational Biology lcsh:RA1-1270 Viral Vaccines General Medicine 030104 developmental biology Infectious Diseases 030220 oncology & carcinogenesis Drug Design Spike Glycoprotein Coronavirus biology.protein Epitopes B-Lymphocyte Coronavirus Infections Sequence Alignment Sequence Analysis Vaccine |
Zdroj: | Infectious Diseases of Poverty Infectious Diseases of Poverty, Vol 9, Iss 1, Pp 1-10 (2020) |
DOI: | 10.21203/rs.3.rs-24655/v1 |
Popis: | Background An outbreak of infection caused by SARS-CoV-2 recently has brought a great challenge to public health. Rapid identification of immune epitopes would be an efficient way to screen the candidates for vaccine development at the time of pandemic. This study aimed to predict the protective epitopes with bioinformatics methods and resources for vaccine development. Methods The genome sequence and protein sequences of SARS-CoV-2 were retrieved from the National Center for Biotechnology Information (NCBI) database. ABCpred and BepiPred servers were utilized for sequential B-cell epitope analysis. Discontinuous B-cell epitopes were predicted via DiscoTope 2.0 program. IEDB server was utilized for HLA-1 and HLA-2 binding peptides computation. Surface accessibility, antigenicity, and other important features of forecasted epitopes were characterized for immunogen potential evaluation. Results A total of 63 sequential B-cell epitopes on spike protein were predicted and 4 peptides (Spike315–324, Spike333–338, Spike648–663, Spike1064–1079) exhibited high antigenicity score and good surface accessibility. Ten residues within spike protein (Gly496, Glu498, Pro499, Thr500, Leu1141, Gln1142, Pro1143, Glu1144, Leu1145, Asp1146) are forecasted as components of discontinuous B-cell epitopes. The bioinformatics analysis of HLA binding peptides within nucleocapsid protein produced 81 and 64 peptides being able to bind MHC class I and MHC class II molecules respectively. The peptides (Nucleocapsid66–75, Nucleocapsid104–112) were predicted to bind a wide spectrum of both HLA-1 and HLA-2 molecules. Conclusions B-cell epitopes on spike protein and T-cell epitopes within nucleocapsid protein were identified and recommended for developing a protective vaccine against SARS-CoV-2. |
Databáze: | OpenAIRE |
Externí odkaz: |