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Pharmacoscript
Article . 2025 . Peer-reviewed
License: CC BY SA
Data sources: Crossref
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DESAIN VAKSIN MULTI-EPITOP TERHADAP VIRUS MARBURG (MARV) BERBASIS PROTEIN VP35 MENGGUNAKAN PENDEKATAN IMMUNOINFORMATIKA: IN-SILICO

Authors: Asopari Ilham Nurfadilah; Pratita Anindita Tri Kusuma; Mardianingrum Richa; Ruswanto Ruswanto;

DESAIN VAKSIN MULTI-EPITOP TERHADAP VIRUS MARBURG (MARV) BERBASIS PROTEIN VP35 MENGGUNAKAN PENDEKATAN IMMUNOINFORMATIKA: IN-SILICO

Abstract

Virus Marburg (MARV) merupakan salah satu virus zoonosis dari keluarga Filoviridae dengan tingkat kematian hingga 88%. Pertumbuhan populasi global yang pesat meningkatkan risiko paparan penyakit akibat perubahan iklim dan ekologi. Untuk pencegahan, vaksin menjadi upaya terbaik. Penelitian ini bertujuan merancang vaksin berbasis peptida dari protein VP35 dan mengevaluasi interaksinya dengan sistem imun (TLR3, MHC-I, dan MHC-II) berdasarkan parameter stabilitas interaksi molekuler seperti skor ikatan, nilai elektrostatik, dan desolvasi. Metode yang digunakan adalah pendekatan immunoinformatics secara in silico, meliputi pemilihan protein target, prediksi antigenisitas, prediksi epitop T CD8+, prediksi epitop T CD4+, prediksi epitop B, konstruksi vaksin & visualisasi 3D, validasi struktur vaksin, analisis docking dan prediksi cakupan populasi. Hasil menunjukkan bahwa desain vaksin memiliki interaksi yang stabil terhadap TLR3, MHC-I (HLA-A*11:01), dan MHC-II (HLA-DR1), dengan nilai skor total berturut-turut sebesar –43,698, –42,192, dan –51,899, menunjukkan afinitas ikatan yang kuat secara in silico. Temuan ini mengindikasikan potensi desain vaksin berbasis epitop VP35 sebagai kandidat imunogenik terhadap MARV, meskipun perlu dioptimalkan lebih lanjut mengingat cakupan populasi yang masih terbatas.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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