DESIGN AND EVALUATION OF LINKER IN PEPTIDE BASED BIOSENSOR FOR DETECTING DENGUE VIRUS (DENV) USING IN SILICO APPROACHES
Dengue Hemorrhagic Fever (DHF) is caused by the dengue virus (DENV), which is transmitted by Aedes mosquitoes. In recent years, DHF cases in Indonesia have continued to rise, emphasizing the need for more efficient and effective diagnostic methods. This research aims to develop a peptide-based bi...
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id-itb.:851462024-08-19T15:27:44ZDESIGN AND EVALUATION OF LINKER IN PEPTIDE BASED BIOSENSOR FOR DETECTING DENGUE VIRUS (DENV) USING IN SILICO APPROACHES Aliya, Farisa Indonesia Final Project DENV, NS1, Peptide, Graphene, Carbon nanotube, PBSE, GROMACS INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/85146 Dengue Hemorrhagic Fever (DHF) is caused by the dengue virus (DENV), which is transmitted by Aedes mosquitoes. In recent years, DHF cases in Indonesia have continued to rise, emphasizing the need for more efficient and effective diagnostic methods. This research aims to develop a peptide-based biosensor that can detect the NS1 biomarker of the dengue virus. Previous research by Putri (2023) designed a peptide named Mut 11, which has a high affinity for the NS1 protein. The follow-up research aims to immobilize the peptide on graphene and carbon nanotube (CNT) substrates. The stability of the interaction between the peptide and the substrate is enhanced by adding the linker 1-pyrenebutanoic acid succinimidyl ester (PBSE) to the peptide. The research process includes substrate selection, peptide bioconjugation with the linker, simulation of peptide-substrate interactions, and analysis of interaction stability. Molecular dynamics simulations were conducted using GROMACS software. The simulation stages included energy minimization, temperature and pressure equilibration, and production simulation for 10 nanoseconds. The parameters used were the GROMOS54a7 force field, SPC water system, and environmental conditions maintained at 300 K and 1 bar pressure. The simulation results showed that peptide Mut 11 was unstable when interacting with graphene and CNT. After the addition of the PBSE linker to the Mut11 peptide, the interaction between the peptide and CNT resulted in an average RMSD value of 2.703 ± 0.844 nm and an average radius of gyration of 1.211 ± 0.115 nm. The conjugated peptide and CNT system became the most stable system compared to the Mut 11 peptide and substrate systems. The conclusion of this research is that peptide bioconjugation with the PBSE linker effectively enhances the stability of peptide interactions with the CNT substrate. This indicates the potential for developing peptide-based biosensors for dengue virus detection. text |
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Dengue Hemorrhagic Fever (DHF) is caused by the dengue virus (DENV), which
is transmitted by Aedes mosquitoes. In recent years, DHF cases in Indonesia have
continued to rise, emphasizing the need for more efficient and effective diagnostic
methods. This research aims to develop a peptide-based biosensor that can detect
the NS1 biomarker of the dengue virus. Previous research by Putri (2023)
designed a peptide named Mut 11, which has a high affinity for the NS1 protein.
The follow-up research aims to immobilize the peptide on graphene and carbon
nanotube (CNT) substrates. The stability of the interaction between the peptide
and the substrate is enhanced by adding the linker 1-pyrenebutanoic acid
succinimidyl ester (PBSE) to the peptide. The research process includes substrate
selection, peptide bioconjugation with the linker, simulation of peptide-substrate
interactions, and analysis of interaction stability.
Molecular dynamics simulations were conducted using GROMACS software. The
simulation stages included energy minimization, temperature and pressure
equilibration, and production simulation for 10 nanoseconds. The parameters used
were the GROMOS54a7 force field, SPC water system, and environmental
conditions maintained at 300 K and 1 bar pressure. The simulation results showed
that peptide Mut 11 was unstable when interacting with graphene and CNT. After
the addition of the PBSE linker to the Mut11 peptide, the interaction between the
peptide and CNT resulted in an average RMSD value of 2.703 ± 0.844 nm and an
average radius of gyration of 1.211 ± 0.115 nm. The conjugated peptide and CNT
system became the most stable system compared to the Mut 11 peptide and
substrate systems. The conclusion of this research is that peptide bioconjugation
with the PBSE linker effectively enhances the stability of peptide interactions
with the CNT substrate. This indicates the potential for developing peptide-based
biosensors for dengue virus detection. |
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Final Project |
author |
Aliya, Farisa |
spellingShingle |
Aliya, Farisa DESIGN AND EVALUATION OF LINKER IN PEPTIDE BASED BIOSENSOR FOR DETECTING DENGUE VIRUS (DENV) USING IN SILICO APPROACHES |
author_facet |
Aliya, Farisa |
author_sort |
Aliya, Farisa |
title |
DESIGN AND EVALUATION OF LINKER IN PEPTIDE BASED BIOSENSOR FOR DETECTING DENGUE VIRUS (DENV) USING IN SILICO APPROACHES |
title_short |
DESIGN AND EVALUATION OF LINKER IN PEPTIDE BASED BIOSENSOR FOR DETECTING DENGUE VIRUS (DENV) USING IN SILICO APPROACHES |
title_full |
DESIGN AND EVALUATION OF LINKER IN PEPTIDE BASED BIOSENSOR FOR DETECTING DENGUE VIRUS (DENV) USING IN SILICO APPROACHES |
title_fullStr |
DESIGN AND EVALUATION OF LINKER IN PEPTIDE BASED BIOSENSOR FOR DETECTING DENGUE VIRUS (DENV) USING IN SILICO APPROACHES |
title_full_unstemmed |
DESIGN AND EVALUATION OF LINKER IN PEPTIDE BASED BIOSENSOR FOR DETECTING DENGUE VIRUS (DENV) USING IN SILICO APPROACHES |
title_sort |
design and evaluation of linker in peptide based biosensor for detecting dengue virus (denv) using in silico approaches |
url |
https://digilib.itb.ac.id/gdl/view/85146 |
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