The Bioinformatics Analysis and Single-chain Fragment Variable Expression for Detection of Indonesian Dengue Virus NS1 Antigen

  • Dewi Astriany Sekolah Tinggi Farmasi Indonesia
  • Umi Baroroh Sekolah Tinggi Farmasi Indonesia
  • Muhammad Yusuf
  • Muhammad Yusuf
  • Toto Subroto
  • Iman P. Maksum
  • Dessy Natalia
Keywords: dengue virus, molecular docking, molecular dynamics simulation, NS1 antigen, scFv

Abstract

Dengue hemorrhagic fever is a major global health challenge, the effective management of which requires early and accurate detection. Nonstructural protein 1 (NS1) has been shown to be a potential biomarker which offers a diagnostic window from the first day of infection. This study aims to explore the diagnostic potential of a modified antibody engineered as a single-chain variable fragment (scFv) for specific NS1 detection in DHF cases in Indonesia. The interactions between scFv and NS1 DENV Indonesia were analyzed using computational approaches, which include molecular docking and molecular dynamics simulations. The successful docking and subsequent enzyme-linked immunosorbent assay experiments confirmed the binding of the scFv to NS1. In silico approaches complemented experimental data, which provided valuable insights into potential scFv-NS1 interactions and guided targeted diagnostic tool development. The use of scFv as a specific tool has the potential to overcome the current limitations in sensitivity observed in NS1 detection in Indonesia. In this study, the modified scFv was produced in Escherichia coli BL21(DE3) host recombinantly, hence offering advantages over conventional antibodies. To conclude, our study offers a promising avenue for early and specific NS1 detection in DHF cases using modified scFv. The combination of computational analysis with experimental validation underscores the significance of a multidisciplinary approach in developing innovative diagnostic tools. To establish the clinical utility of scFv as a reliable and cost-effective diagnostic tool for DHF, further investigations and clinical assessments are necessary. This advancement may have far-reaching implications in the fight against dengue and other infectious diseases.

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Published
2025-10-13
How to Cite
Astriany, D., Baroroh, U., Yusuf, M., Yusuf, M., Subroto, T., Maksum, I. P., & Natalia, D. (2025). The Bioinformatics Analysis and Single-chain Fragment Variable Expression for Detection of Indonesian Dengue Virus NS1 Antigen. Indonesian Journal of Pharmacy. https://doi.org/10.22146/ijp.17929
Section
Research Article