نموذج تعلّم عميق تنبّؤي بتلف لقاح الرنا المرسال (mRNA): تحليل قاعدة بيانات ستانفورد للقاح الرنا المرسال المضاد لكوفيد-19

Cucinotta D, Vanelli M. WHO declares COVID-19 a pandemic. Acta Bio Medica: Atenei Parmensis. 2020; 91(1): 157. https://dx.doi.org/10.23750/abm.v91i1.9397

Sulayman N. Comparative study for automated coronavirus detection in CT images with transfer learning. Damascus Uni J Eng Sci, 2022; 38(5): 245-255. http://journal.damascusuniversity.edu.sy/index.php/engj/article/download/2248/1775

Mohammed SK, Taha MM, Taha EM, Mohammad MN. Cluster analysis of biochemical markers as predictor of COVID-19 severity. Baghdad Sci J. 2022; 19(6 (Suppl.)): 1423-1429 https://dx.doi.org/10.21123/bsj.2022.4242

Zaki SM, Jaber MM, Kashmoola MA. Diagnosing COVID-19 Infection in Chest X-Ray Images Using Neural Network. Baghdad Sci J. 2022; 19(6): 1356-1361. http://dx.doi.org/10.21123/bsj.2022.5965

Mohammed TS, Sultan AI, Alheeti KM, Aljebory KM, Sultan HI, Al-Ani MS. COVID-19 Diagnosis Using Spectral and Statistical Analysis of Cough Recordings Based on the Combination of SVD and DWT. Baghdad Sci J. 2022; 0372-. https://doi.org/10.21123/bsj.2022.6516

WHO Coronavirus (COVID-19) Dashboard, https://covid19.who.int/ (accessed on 11 August 2022)

Corbett KS, Edwards DK, Leist SR, Abiona OM, Boyoglu-Barnum S, Gillespie RA, Himansu S, Schäfer A, Ziwawo CT, DiPiazza AT, Dinnon KH. SARS-CoV-2 mRNA vaccine design enabled by prototype pathogen preparedness. Nature. 2020; 586(7830): 567-71. https://doi.org/10.1038/s41586-020-2622-0

Kremsner PG, Mann P, Kroidl A, Leroux-Roels I, Schindler C, Gabor JJ, et al. Safety and immunogenicity of an mRNA-lipid nanoparticle vaccine candidate against SARS-CoV-2: A phase 1 randomized clinical trial. Wien Klin Wochenschr. 2021; 133(17-18): 931-41. https://doi.org/10.1007/s00508-021-01922-y

Ribonucleic Acid (RNA). https://www.genome.gov/genetics-glossary/RNA-Ribonucleic-Acid (Accessed on 11 August 2022)

Lyngsø RB, Pedersen CN. RNA pseudoknot prediction in energy-based models. J Comput Biol. 2000; 7(3-4): 409-27. https://doi.org/10.1089/106652700750050862

Pardi N, Hogan MJ, Porter FW, Weissman D. mRNA vaccines—a new era in vaccinology. Nat Rev Drug Discov. 2018; 17(4): 261-79. https://doi.org/10.1038/nrd.2017.243

Bouarara HA. N-Gram-Codon and Recurrent Neural Network (RNN) to Update Pfizer-BioNTech mRNA Vaccine. Int J Comput Intell Syst. 2022; 14(1): 1-24. http://doi.org/10.4018/IJSSCI.305838

Ing SH, Abdullah AA, Harun NH, Kanaya S. COVID-19 mRNA Vaccine Degradation Prediction Using LR and LGBM Algorithms. J Phys Conf Ser. 2021; 1997(1): 012005. IOP Publishing. http://doi.org/10.1088/1742-6596/1997/1/012005

Muneer A, Fati SM, Akbar NA, Agustriawan D, Wahyudi ST. iVaccine-Deep: Prediction of COVID-19 mRNA vaccine degradation using deep learning. J King Saud Univ- Comput. Inf Sci. 2022; 34(9): 7419-32. https://doi.org/10.1016/j.jksuci.2021.10.001

Krishna UV, Premjith B, Soman KP. A Comparative Study of Pre-trained Gene Embeddings for COVID-19 mRNA Vaccine Degradation Prediction. Proc 7th Int Conf Math Comput : pp. 301-308. Singapore: Springer Singapore. https://doi.org/10.1007/978-981-16-6890-6_22

Imran SA, Islam MT, Shahnaz C, Islam MT, Imam OT, Haque M. COVID-19 mRNA Vaccine Degradation Prediction using Regularized LSTM Model. Int Women Eng Conf. 2020; (pp. 328-331). IEEE. https://doi.org/10.1109/WIECON-ECE52138.2020.9398044

Openvaccine: Covid-19 mrna vaccine degradation prediction, Sep. 2020; https://www.kaggle.com/ competitions/stanford-covid-vaccine/data

Danaee P, Rouches M, Wiley M, Deng D, Huang L, Hendrix D. bpRNA: large-scale automated annotation and analysis of RNA secondary structure. Nucleic Acids Res. 2018; 46(11): 5381-94. https://doi.org/10.1093/nar/gky285

Qaid TS, Mazaar H, Alqahtani MS, Raweh AA, Alakwaa W. Deep sequence modelling for predicting COVID-19 mRNA vaccine degradation. Peer J Comput Sci. 2021; 7: e597. https://doi.org10.7717/peerj-cs.597

Cho K, Van Merriënboer B, Gulcehre C, Bahdanau D, Bougares F, Schwenk H, et al. Learning phrase representations using RNN encoder-decoder for statistical machine translation. Proc Conf Empir Methods Nat Lang Proc. 2014; 1406.1078. https://doi.org/10.48550/arXiv.1406.1078

Cho K, Van Merriënboer B, Bahdanau D, Bengio Y. On the properties of neural machine translation: Encoder-decoder approaches. Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation. 2014; 1409.1259. https://doi.org/10.48550/arXiv.1409.1259

Schoenmaker L, Witzigmann D, Kulkarni JA, Verbeke R, Kersten G, Jiskoot W, et al. mRNA-lipid nanoparticle COVID-19 vaccines: Structure and stability. Int J Pharm X. 2021; 601:120586. https://doi.org/10.1016/j.ijpharm.2021.120586