Thesis

In Silico Design and ELONA Validation of an Aptamer for SARS- CoV-2 Omicron RBD Detection

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COVID-19, caused by the SARS-CoV-2 virus, has resulted in a pandemic with 6.8 million confirmed cases
in Indonesia as of December 2023. The high number of cases has necessitated the need for robust and
specific diagnostic tools. Despite its effectiveness, the qRT-PCR suggested by the World Health
Organization has a number of drawbacks, such as expensive costs, the need for trained personnel and
equipment, and longer processing times. To address these issues, this study explores the development
of aptamer-based diagnostic tools. An aptamer was designed to specifically bind to the SARS-CoV-2
Omicron receptor binding domain (RBD) using in silico methods and subsequently validated through
ELONA (Enzyme-Linked Oligonucleotide Assay). apt41 was found to have a strong bind to the target
RBD, and also showed less cross-reactivity to other related RBDs. The binding efficiency of apt41 was
tested using ELONA at various concentrations (1, 1.5, and 2.5 μM). Results indicated that the minimum
concentration required for effective binding was around 1.5 μM. For diagnostic applications, higher
concentrations are recommended to avoid false negative results and ensure reliable detection. This
study highlights the potential of aptamer-based diagnostics as an alternative to traditional methods.

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Availability

Detail Information

Series Title

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Call Number

BM 24-046

Publisher

i3L, Jakarta : i3L Press., 2024

Collation

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Language

English

ISBN/ISSN

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Classification

NONE

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

SARS-COV-2
In silico
Aptamer
Diagnostic
ELONA

Specific Detail Info

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Statement of Responsibility

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