Prognosis of RNA, siRNA, Followed by the Immunological Response of the Proposed Vaccine (Vac534) against COVID-19
DOI:
https://doi.org/10.15407/microbiolj86.02.065Keywords:
viral RNA, siRNA, MPRO, molecular docking, vaccineAbstract
Despite the decline in Coronavirus infections, care must be taken to avoid new mutations that allow the virus to escape vaccination and treatment. Viral RNA is responsible for virus replication and assembly in the host cell. Aim. The goal of this work was to predict the RNA secondary structure of the vaccination we developed before (Vac534). In addition, the degree of RNA overlaps while translating into ribosomes, refolding, and evaluating the protein immune response are all considered. Methods. Different immunobioinformatics tools and servers were utilized for analysis. RNA folding was executed through the application of RNAstructure 6.4 and RNAfold software. The unique sequence context led to the emergence of potential RNA structures at the site where ribosome binding occurs. A new method, C-IMMSIM, which relies on immune cell epitope prediction, was employed to gain fresh insights into comprehending the immune system. Results. А high probability of ≥ 99% is shown between nucleotides with the stability of loops and motifs of the RNA 2D structure. The predicted siRNA sequences, which were located in three places, were used to calculate total energy, self-folding, and a free end with a high accessibility score. RNA translation into the ribosome is required to determine the optimum direction of translation. The short docking fragment of 24 nucleotides of RNA (Vac534) generated six robust binds with MPRO at high energy. Conclusions. The immunological evaluation of the vaccination is critical for stimulating immune cells and detecting interleukins and cytokine production. This study is viewed as a step toward developing Coronavirus treatments. The number of loops and motifs is increasing, with a probability of above 99% for most sequences. The predicted siRNA sequences, which were located in three places, were used to calculate total energy, self-folding, and a free end with a high accessibility score.
Downloads
References
Dawood, A., Jasim, B., & Al-Jalily, O. (2022). Identification of Surface Glycoprotein Mutations of SARS-CoV-2 in Isolated Strains from Iraq. Medical Immunology Russia. 24(4), 729-740. https://doi.org/10.15789/1563-0625-IOS-2455
Dawood, A. (2022a). Influence of SARS-CoV-2 Variants' Spike Glycoprotein and RNA-Dependent RNA polymerase (Nsp12) Mutations on Remdesivir Docking Residues. Med Immuno Rus, 24(3), 617-628. https://doi.org/10.15789/1563-0625-IOS-2486
Dawood, A., Altobje, M., & Alrassam, Z. (2021). Molecular Docking of SARS-CoV-2 Nucleocapsid Protein with Angiotensin-Converting Enzyme II. Mikrobiol Z, 83(2), 82-92. https://doi.org/10.15407/microbiolj83.02.082
Dawood, A. (2022b). Implementation of Immuno-chemoinformatics Approaches to Construct Multi-epitope for Vaccine Development against Omicron and Delta SARS-CoV-2 Variants. Vacunas, 23, S18-S31. https://doi.org/10.1016/j.vacun.2022.05.006
Deigan, K. E., Li, T. W., Mathews, D. H., & Weeks, K. M. (2009). Accurate SHAPE-directed RNA structure determination. Proceedings of the National Academy of Sciences of the United States of America, 106(1), 97-102. https://doi.org/10.1073/pnas.0806929106
Huston, N. C., Wan, H., Strine, M. S., de Cesaris Araujo Tavares, R., Wilen, C. B., & Pyle, A. M. (2021). Comprehensive in vivo secondary structure of the SARS-CoV-2 genome reveals novel regulatory motifs and mechanisms. Molecular cell, 81(3), 584-598.e5. https://doi.org/10.1016/j.molcel.2020.12.041
Kiening, M., Ochsenreiter, R., Hellinger, H. J., Rattei, T., Hofacker, I., & Frishman, D. (2019). Conserved Secondary Structures in Viral mRNAs. Viruses, 11(5), 401. https://doi.org/10.3390/v11050401
Kim, D., Lee, J. Y., Yang, J. S., Kim, J. W., Kim, V. N., & Chang, H. (2020). The Architecture of SARS-CoV-2 Transcriptome. Cell, 181(4), 914-921.e10. https://doi.org/10.1016/j.cell.2020.04.011
Kirtipal, N., Bharadwaj, S., & Kang, S. G. (2020). From SARS to SARS-CoV-2, insights on structure, pathogenicity and immunity aspects of pandemic human coronaviruses. Infection, Genetics and Evolution, 85, 104502. https://doi.org/10.1016/j.meegid.2020.104502
Lu, Z. J., Gloor, J. W., & Mathews, D. H. (2009). Improved RNA secondary structure prediction by maximizing expected pair accuracy. RNA (New York, N.Y.), 15(10), 1805-1813. https://doi.org/10.1261/rna.1643609
Merino, E. J., Wilkinson, K. A., Coughlan, J. L., & Weeks, K. M. (2005). RNA structure analysis at single nucleotide resolution by selective 2'-hydroxyl acylation and primer extension (SHAPE). Journal of the American Chemical Society, 127(12), 4223-4231. https://doi.org/10.1021/ja043822v
Miao, Z., Tidu, A., Eriani, G., & Martin, F. (2021). Secondary structure of the SARS-CoV-2 5'-UTR. RNA biology, 18(4), 447-456. https://doi.org/10.1080/15476286.2020.1814556
Rangan, R., Zheludev, I. N., Hagey, R. J., Pham, E. A., Wayment-Steele, H. K., Glenn, J. S., & Das, R. (2020). RNA genome conservation and secondary structure in SARS-CoV-2 and SARS-related viruses: a first look. RNA, 26(8), 937-959. https://doi.org/10.1261/rna.076141.120
Romano, M., Ruggiero, A., Squeglia, F., Maga, G., & Berisio, R. (2020). A Structural View of SARS-CoV-2 RNA Replication Machinery: RNA Synthesis, Proofreading and Final Capping. Cells, 9(5), 1267. https://doi.org/10.3390/cells9051267
Sanders, W., Fritch, E. J., Madden, E. A., Graham, R. L., Vincent, H. A., Heise, M. T., Baric, R. S., & Moorman, N. J. (2020). Comparative analysis of coronavirus genomic RNA structure reveals conservation in SARS-like coronaviruses. bioRxiv: the preprint server for biology, 2020.06.15.153197. https://doi.org/10.1101/2020.06.15.153197
Soszynska-Jozwiak, M., Ruszkowska, A., Kierzek, R., O'Leary, C. A., Moss, W. N., & Kierzek, E. (2022). Secondary Structure of Subgenomic RNA M of SARS-CoV-2. Viruses, 14(2), 322. https://doi.org/10.3390/v14020322
Vandelli, A., Monti, M., Milanetti, E., Armaos, A., Rupert, J., Zacco, E., Bechara, E., Delli Ponti, R., & Tartaglia, G. G. (2020). Structural analysis of SARS-CoV-2 genome and predictions of the human interactome. Nucleic acids research, 48(20), 11270-11283. https://doi.org/10.1093/nar/gkaa864
Vlachogiannis, N. I., Verrou, K. M., Stellos, K., Sfikakis, P. P., & Paraskevis, D. (2021). The role of A-to-I RNA editing in infections by RNA viruses: Possible implications for SARS-CoV-2 infection. Clinical immunology (Orlando, Fla.), 226, 108699. https://doi.org/10.1016/j.clim.2021.108699
Wacker, A., Weigand, J. E., Akabayov, S. R., Altincekic, N., Bains, J. K., Banijamali, E., Binas, O., Castillo-Martinez, J., Cetiner, E., Ceylan, B., Chiu, L. Y., Davila-Calderon, J., Dhamotharan, K., Duchardt-Ferner, E., Ferner, J., Frydman, L., Fürtig, B., Gallego, J., Grün, J. T., Hacker, C., …& Zetzsche, H. (2020). Secondary structure determination of conserved SARS-CoV-2 RNA elements by NMR spectroscopy. Nucleic acids research, 48(22), 12415-12435. https://doi.org/10.1093/nar/gkaa1013
Yang, S. L., de Falco, L., Anderson, D. E., Zhang, Y., Aw, J. G. A., Lim, S. Y., Lim, X. N., Tan, K. Y., Zhang, T., Chawla, T., Su, Y., Lezhava, A., Merits, A., Wang, L. F., Huber, R. G., & Wan, Y. (2021). Comprehensive mapping of SARS-CoV-2 interactions in vivo reveals functional virus-host interactions. Nature communications, 12(1), 5113. https://doi.org/10.1038/s41467-021-25357-1
Ziehler, W. A., & Engelke, D. R. (2001). Probing RNA structure with chemical reagents and enzymes. Current protocols in nucleic acid chemistry, Chapter 6, Unit-6.1. https://doi.org/10.1002/0471142700.nc0601s00
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Mikrobiolohichnyi Zhurnal
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.