DEWI ASTRIANY, - and MUHAMMAD YUSUF, - and UMI BAROROH, - and IMAN PERMANA MAKSUM, - and DESSY NATALIA, - and TOTO SUBROTO, - (2021) In Silico Analysis of Single chain Fragment variable Anti-NS1 Dengue Virus. In: Seminar Nasional APTFI III, Asosiasi Pendidikan Tinggi Farmasi Indonesia.
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Abstract
Dengue is one of the infectious diseases, considered as a major health concern around the world, caused by four antigenically different serotypes of the dengue virus. Clinical manifestations of dengue infection are indistinguishable from other infectious diseases [3]. A faster and accurate diagnostic test of dengue virus infection is urgently required for disease confirmation and patient handling. NS1 is the most immunogenic and conserved glycoprotein, secreted into the bloodstream [1]. Therefore, antigen examination from NS1 dengue virus has been identified as one of the specific markers in laboratory diagnostic tests, that can be used to detect either primary or secondary dengue virus infections in its earliest stages [2]. In this study, bioinformatics approach was performed on the four serotypes of Indonesian strains NS1 antigens and the single-chain Fragment variable (scFv) to obtain the best model using BLAST, Phyre2, Modeller 9.22 and the FireDock server for molecular docking. We obtained the binding energy of scFv to NS1 DENV-1, DENV-2, DENV-3, and DENV-4 was -69.84; -54.32; -76.46; and -74.78 kcal/mol, respectively. The interactions of scFv-NS1 complexes were hydrogen bonds, electrostatic, and hydrophobic interactions. In silico results showed that the scFv designed has a binding affinity against the four serotypes of Indonesian strain of dengue virus NS1 antigens. Based on the research, it can be concluded that the scFv could be used as a candidate of diagnostic kits component for detecting dengue virus NS1 antigens.
Item Type: | Conference or Workshop Item (Speech) |
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Uncontrolled Keywords: | dengue virus, NS1 antigen, single chain Fragment variable, molecular docking |
Subjects: | Q Science > Q Science (General) |
Divisions: | Lembaga Penelitian dan Pengabdian Masyarakat > Publikasi Penelitian |
Depositing User: | - Dewi Astriany - |
Date Deposited: | 20 Aug 2024 07:17 |
Last Modified: | 20 Aug 2024 07:17 |
URI: | http://repository.stfi.ac.id/id/eprint/978 |
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