Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and Virology-Reference-Cited by-同舟云学术

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Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and Virology

Published:2022-06-02 Issue:1 Volume: Page:71-81
ISSN:2524-2822
Container-title:Digital Transformation
language:
Short-container-title:Cifrovaja transformacija

Author:

Sprindzuk M. V.¹,Vladyko A. S.²,Titov L. P.³,Zhuozhuang Lu⁴,Bernik V. I.⁵

Affiliation:

1. National Academy of Sciences of Belarus

2. Belarus Ministry of Healthcare

3. RRPC for epidemiology and microbiology

4. Chinese Center for Disease Control and Prevention

5. State Scientific Institution «Institute of Mathematics of the National Academy of Sciences of Belarus»

Publisher

Belarusian State University of Informatics and Radioelectronics

Subject

General Medicine

Reference32 articles.

1. Frishman D., Marz M. Virus Bioinformatics. New York: CRC Press; 2021.

2. Ezzemani W., Windisch M.P., Kettani A., Altawalah H., Nourlil J., Benjelloun S., Ezzikouri S. Immunoinformatics-based identification of novel potential B cell and T cell epitopes to fight Zika virus infections. Infect Disord Drug Targets. 2021;21(4):572-581. DOI: 10.2174/1871526520666200810153657

3. Alam A., Ali S., Ahamad S., Malik M.Z., Ishrat R. From ZikV genome to vaccine: in silico approach for the epitopebased peptide vaccine against Zika virus envelope glycoprotein. Immunology. 2016;149(4):386-399.

4. Waller F.M., Reche P.A., Flower D.R. West Nile Virus Vaccine Design by T Cell Epitope Selection: In Silico Analysis of Conservation, Functional Cross-Reactivity with the Human Genome, and Population Coverage. J Immunol Res. 2020;2020:7235742.

5. Dutta S.K., Bhattacharya T., Tripathi A. Chikungunya virus: genomic microevolution in Eastern India and its in-silico epitope prediction. 3 Biotech. 2018;8(7):318.

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