چاپ صفحه |  صفحه نخست سامانه |  نویسندگان |  اطلاعات تفضیلی |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده | نفر چندم مقاله |
|---|---|
| محمد مصطفی پورسیف | اول |
| عنوان | متن |
|---|---|
| کلمات کلیدی | Bioinformatics, Genome sequencing, mRNA vaccine, Systems biology |
| خلاصه مقاله | Abstract: Alongside the increasing progress in the genome sequencing technologies and development of biomedical computing sciences, various computational methods, and databases have been developed to analyse, predict, and annotate different features in vaccinology. Genomic data obtained from the pan-genome sequencing analyses and subsequent proteomic assays can provide in-depth information about the target disease's antigenic repertoire. Today, the dreadful experience of the COVID-19 pandemic emphasizes the urgent need of mankind to revisit the scientific approaches towards fast and cost-effective development of vaccines with high precision and effectiveness such as self-amplifying mRNA. The vaccine production against SARS-CoV-2 began soon after the first genome sequencing and its subsequent bioinformatics analysis. However, the evolutionary/mutational process in microorganisms and tumour cellsappear the importance of genome profiling, high-throughput omics data analyses, and computational simulations than ever before. In this regard, this presentation is focused on the role of high-throughput genomic/transcriptomic data analysis, structural modeling and simulations in the design and development of high-tech vaccines like mRNA vaccines. |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| Invitation Letter.pdf | 1402/02/25 | 155858 | دانلود |
| Papers.pdf | 1402/02/25 | 2170007 | دانلود |
