Thesis

Peptidome Analysis of the SARS-CoV-2 Spike Protein across Variants

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The continuing COVID-19 pandemic has brought to light how crucial it is to comprehend the
SARS-CoV-2 virus and its proteins in order to develop efficient treatment and diagnostic approaches.
However, there are difficulties with storage, processing, and analysis because of the enormous
number of SARS-CoV-2 protein sequence data. In order to analyze SARS-CoV-2 data, this study
examines the use of UNIQmin, a protein sequence reduction program. Also, to improve the
performance of UNIQmin. This study gives light on the program's ability to improve the
interpretation of SARS-CoV-2 proteomics data by examining how well UNIQmin reduces SARS-CoV-2
protein sequences while maintaining important information and its efficiency in producing the
result. Using the gathered SARS-CoV-2 sequences from December 2022, The result shows a 98.6%
percentage of reduced sequences from the initial nr dataset. The efficiency of the program also has
shown improvement with multithreading implementation.

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Availability

Detail Information

Series Title

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Call Number

BI 23-007

Publisher

i3L, Jakarta : i3L, Jakarta., 2023

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
Covid-19
Peptidome analysis
UNIQmin

Specific Detail Info

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Statement of Responsibility

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