PREDIKSI EPITOPE SEL LIMFOSIT B PROTEIN HBcAg DENGAN PENDEKATAN IMMUNOINFORMATICS SEBAGAI BASIS PENGEMBANGAN DIAGNOSTIK HBcAg DAN PENGUJIANNYA MENGGUNAKAN NANOFIBER GELATIN-SELULOSA ASETAT

Hepatitis B virus (HBV) is a virus that attacks liver cells and can cause damage. HBV attacks adults and children by transmitting body fluids or can be passed down from mother to child. HBV has 10 genotypes (A-J) spread all over the world, while the prevalence of HBV in Indonesia is dominated by gen...

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Main Author: Prastyanto Suryono, Bima
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/42924
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:42924
spelling id-itb.:429242019-09-24T14:45:34ZPREDIKSI EPITOPE SEL LIMFOSIT B PROTEIN HBcAg DENGAN PENDEKATAN IMMUNOINFORMATICS SEBAGAI BASIS PENGEMBANGAN DIAGNOSTIK HBcAg DAN PENGUJIANNYA MENGGUNAKAN NANOFIBER GELATIN-SELULOSA ASETAT Prastyanto Suryono, Bima Indonesia Final Project ELISA, HBcAg, HBV, In silico, Nanofiber, Prediction INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/42924 Hepatitis B virus (HBV) is a virus that attacks liver cells and can cause damage. HBV attacks adults and children by transmitting body fluids or can be passed down from mother to child. HBV has 10 genotypes (A-J) spread all over the world, while the prevalence of HBV in Indonesia is dominated by genotypes B and C. HBV diagnosis is carried out by detecting the presence of viral antigen, such as nucleocapsid proteins (HBcAg). Diagnosis is generally done using Enzyme-Linked Immunosorbent Assay (ELISA), but ELISA itself has limited sensitivity. The sensitivity of the ELISA system can be increased by using nanofiber (NF). The purpose of this study was to determine the HBcAg epitope candidate using in silico approach and test the antigenicity of the predicted epitope using the NF-modified ELISA and ELISA approaches. The method used is the prediction of HBcAg B cell Epitope in silico, including HLA compatibility analysis, cross-reactivity analysis, and novelty of epitope. The making of the ELISA-NF system was carried out on a microplate and microtube. The prediction process involved 2725 HBcAg HBV B and C sequences, then curated until 1715 sequences were obtained. B cell epitope prediction was performed using BepiPred, BCPred, and COBEpro, as well as an analysis of the level of sequential sustainability in order to obtain two epitopes. Two epitope candidates representing genotypes B and C, namely C1 which are hydrophilic and C2 tend to be hydrophobic, and both have an affinity with HLA-DPA1, HLA-DPB1, and HLA-DR with a low degree of affinity. C1 has a high cross-react characteristic because it has 7 residues that are identical to proteins in humans. Epitope testing using ELISA and ELISA nanofiber cellulose acetate-gelatin (ELISA-NF) still results in suboptimal absorbance and ELISA-NF performed on microtubes has better results even though NF-modified ELISA is no better than conventional ELISA. The conclusion of this study is that the epitope diagnostic testing system needs to be further optimized. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Hepatitis B virus (HBV) is a virus that attacks liver cells and can cause damage. HBV attacks adults and children by transmitting body fluids or can be passed down from mother to child. HBV has 10 genotypes (A-J) spread all over the world, while the prevalence of HBV in Indonesia is dominated by genotypes B and C. HBV diagnosis is carried out by detecting the presence of viral antigen, such as nucleocapsid proteins (HBcAg). Diagnosis is generally done using Enzyme-Linked Immunosorbent Assay (ELISA), but ELISA itself has limited sensitivity. The sensitivity of the ELISA system can be increased by using nanofiber (NF). The purpose of this study was to determine the HBcAg epitope candidate using in silico approach and test the antigenicity of the predicted epitope using the NF-modified ELISA and ELISA approaches. The method used is the prediction of HBcAg B cell Epitope in silico, including HLA compatibility analysis, cross-reactivity analysis, and novelty of epitope. The making of the ELISA-NF system was carried out on a microplate and microtube. The prediction process involved 2725 HBcAg HBV B and C sequences, then curated until 1715 sequences were obtained. B cell epitope prediction was performed using BepiPred, BCPred, and COBEpro, as well as an analysis of the level of sequential sustainability in order to obtain two epitopes. Two epitope candidates representing genotypes B and C, namely C1 which are hydrophilic and C2 tend to be hydrophobic, and both have an affinity with HLA-DPA1, HLA-DPB1, and HLA-DR with a low degree of affinity. C1 has a high cross-react characteristic because it has 7 residues that are identical to proteins in humans. Epitope testing using ELISA and ELISA nanofiber cellulose acetate-gelatin (ELISA-NF) still results in suboptimal absorbance and ELISA-NF performed on microtubes has better results even though NF-modified ELISA is no better than conventional ELISA. The conclusion of this study is that the epitope diagnostic testing system needs to be further optimized.
format Final Project
author Prastyanto Suryono, Bima
spellingShingle Prastyanto Suryono, Bima
PREDIKSI EPITOPE SEL LIMFOSIT B PROTEIN HBcAg DENGAN PENDEKATAN IMMUNOINFORMATICS SEBAGAI BASIS PENGEMBANGAN DIAGNOSTIK HBcAg DAN PENGUJIANNYA MENGGUNAKAN NANOFIBER GELATIN-SELULOSA ASETAT
author_facet Prastyanto Suryono, Bima
author_sort Prastyanto Suryono, Bima
title PREDIKSI EPITOPE SEL LIMFOSIT B PROTEIN HBcAg DENGAN PENDEKATAN IMMUNOINFORMATICS SEBAGAI BASIS PENGEMBANGAN DIAGNOSTIK HBcAg DAN PENGUJIANNYA MENGGUNAKAN NANOFIBER GELATIN-SELULOSA ASETAT
title_short PREDIKSI EPITOPE SEL LIMFOSIT B PROTEIN HBcAg DENGAN PENDEKATAN IMMUNOINFORMATICS SEBAGAI BASIS PENGEMBANGAN DIAGNOSTIK HBcAg DAN PENGUJIANNYA MENGGUNAKAN NANOFIBER GELATIN-SELULOSA ASETAT
title_full PREDIKSI EPITOPE SEL LIMFOSIT B PROTEIN HBcAg DENGAN PENDEKATAN IMMUNOINFORMATICS SEBAGAI BASIS PENGEMBANGAN DIAGNOSTIK HBcAg DAN PENGUJIANNYA MENGGUNAKAN NANOFIBER GELATIN-SELULOSA ASETAT
title_fullStr PREDIKSI EPITOPE SEL LIMFOSIT B PROTEIN HBcAg DENGAN PENDEKATAN IMMUNOINFORMATICS SEBAGAI BASIS PENGEMBANGAN DIAGNOSTIK HBcAg DAN PENGUJIANNYA MENGGUNAKAN NANOFIBER GELATIN-SELULOSA ASETAT
title_full_unstemmed PREDIKSI EPITOPE SEL LIMFOSIT B PROTEIN HBcAg DENGAN PENDEKATAN IMMUNOINFORMATICS SEBAGAI BASIS PENGEMBANGAN DIAGNOSTIK HBcAg DAN PENGUJIANNYA MENGGUNAKAN NANOFIBER GELATIN-SELULOSA ASETAT
title_sort prediksi epitope sel limfosit b protein hbcag dengan pendekatan immunoinformatics sebagai basis pengembangan diagnostik hbcag dan pengujiannya menggunakan nanofiber gelatin-selulosa asetat
url https://digilib.itb.ac.id/gdl/view/42924
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