Designing multi-epitope based peptide vaccine candidates against SARS-CoV-2 using immunoinformatics approach

Ysrafil Ysrafil ¹ * , Zulfiayu Sapiun ^2,3 , Indwiani Astuti ⁴ , Mohammad Anas Anasiru ⁵, Nangsih Sulastri Slamet ² , Hartati Hartati ² , Fadli Husain ², Sukmawati Ahmad Damiti ⁶

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1- Bzówka M, Bagrowska W, Góra A. Recent Advances in Studying Toll-like Receptors with the Use of Computational Methods. J Chem Inf Model. 2023;63(12):3669 [Crossref]

2- Rani S, Khatoon M, Hiremath J, Suresh K, Anandakumar J, Barman N, Manjunath S, S Y, Patil S. Decoding bovine coronavirus immune targets: an epitope informatics approach. Animal Diseases. 2024;4(1) [Crossref]

3- Ryan N, Pratiwi S, Mardhia M, Ysrafil Y, Liana D, Mahyarudin M. Immunoinformatics approach for design novel multi-epitope prophylactic and therapeutic vaccine based on capsid proteins L1 and L2 and oncoproteins E6 and E7 of human papillomavirus 16 and human papillomavirus 18 against cervical cancer. PHRP. 2024;15(4):307 [Crossref]

4- Elalouf A, Kedarya T, Elalouf H, Rosenfeld A. Computational design and evaluation of mRNA- and protein-based conjugate vaccines for influenza A and SARS-CoV-2 viruses. Journal of Genetic Engineering and Biotechnology. 2023;21(1):120 [Crossref]

5- Nugraha M, Changestu D, Ramadhan R, Salsabila T, Nurizati A, Pratiwi S, Ysrafil Y. Novel prophylactic and therapeutic multi-epitope vaccine based on Ag85A, Ag85B, ESAT-6, and CFP-10 of Mycobacterium tuberculosis using an immunoinformatics approach. PHRP. 2024;15(4):286 [Crossref]

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