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https://research.matf.bg.ac.rs/handle/123456789/3183| Title: | Surface Glycoprotein Classification Using Repeat Sequences | Authors: | Alshafah, Samara A Beljanski, Miloš Mitić, Nenad |
Affiliations: | Informatics and Computer Science | Keywords: | classification;coronavirus;filoviridae;repeat sequences;surface glycoprotein | Issue Date: | 2025 | Rank: | M23 | Publisher: | Beograd : IPSI BGD | Journal: | IPSI BgD Transactions on Internet Research | Abstract: | Correct recognition of sequence characteristics is one of the most important steps in bioinformatics. The paper presents a method for the characterization of surface glycoprotein in different viruses. The method uses amino-acid and nucleotide repeat sequences to form a virus/protein profile that is used to characterize and predict the type of protein. Based on a set of characteristic repetitive sequences, a classification model for predicting the type of virus was constructed. |
URI: | https://research.matf.bg.ac.rs/handle/123456789/3183 |
| Appears in Collections: | Research outputs |
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