In silico identification of mycobacterium tuberculosis RV2969C membrane protein: an approach towards vaccinology / Nurul Syahirah Mohamad Sarib

Mycobacterium tuberculosis (TB), the major causative agent of tuberculosis, is responsible for the death of 2 million annually and the infection of other 9 million people around the world. BCG vaccine which was introduced in the early 90's, initially proved to be successful in reducing mortalit...

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Main Author:	Mohamad Sarib, Nurul Syahirah
Format:	Thesis
Language:	English
Published:	2008
Subjects:	Immunology RS Pharmacy and materia medica
Online Access:	https://ir.uitm.edu.my/id/eprint/101008/1/101008.PDF
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id	my-uitm-ir.101008
record_format	uketd_dc
spelling	my-uitm-ir.1010082024-08-26T04:38:20Z In silico identification of mycobacterium tuberculosis RV2969C membrane protein: an approach towards vaccinology / Nurul Syahirah Mohamad Sarib 2008 Mohamad Sarib, Nurul Syahirah Immunology RM Therapeutics. Pharmacology RS Pharmacy and materia medica Mycobacterium tuberculosis (TB), the major causative agent of tuberculosis, is responsible for the death of 2 million annually and the infection of other 9 million people around the world. BCG vaccine which was introduced in the early 90's, initially proved to be successful in reducing mortality from tuberculosis in about 90% of vaccinated children. However, the vaccine had been found to have little effect on pulmonary tuberculosis. In this study, the bioinformatics tools were used to predict the sequence that is most likely to be the vaccine candidates. The gene sequence of the Mycobacterium tuberculosis was retrieved from NCBI website in FAST A sequence. By using the sequence, the amino acids composition was predicted to have alanine (14.1%) and followed closely by valine (11.8%). The GRAVY of this sequence is 0.097. The motif of the sequence cannot be predicted by using ScanProsite tool, therefore FingerPRINTScan tool was used. As a result, the Poaallergen seem to have almost similar sequence. The PSORTb program to predict bacterial protein subcellular localization prediction was used. The subcellular protein was found to localize at the cytoplasmic region with final score of 8.87. The The PSIPRED protein structure prediction server was used to predict the protein secondary structure. The most abundant structure found is the loop. The antigen epitopes of the protein sequence was predicted by using ProPred Web tool. The sequence that was found abundantly is VVF A VVL VF. Therefore, the sequence of VVF A VVL VF is most likely suitable to be the promiscuous binder of vaccine candidates. 2008 Thesis https://ir.uitm.edu.my/id/eprint/101008/ https://ir.uitm.edu.my/id/eprint/101008/1/101008.PDF text en public degree Universiti Teknologi MARA (Kampus Puncak Alam) Faculty of Pharmacy Yee, Leow Chiuan
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Yee, Leow Chiuan
topic	Immunology Immunology RS Pharmacy and materia medica
spellingShingle	Immunology Immunology RS Pharmacy and materia medica Mohamad Sarib, Nurul Syahirah In silico identification of mycobacterium tuberculosis RV2969C membrane protein: an approach towards vaccinology / Nurul Syahirah Mohamad Sarib
description	Mycobacterium tuberculosis (TB), the major causative agent of tuberculosis, is responsible for the death of 2 million annually and the infection of other 9 million people around the world. BCG vaccine which was introduced in the early 90's, initially proved to be successful in reducing mortality from tuberculosis in about 90% of vaccinated children. However, the vaccine had been found to have little effect on pulmonary tuberculosis. In this study, the bioinformatics tools were used to predict the sequence that is most likely to be the vaccine candidates. The gene sequence of the Mycobacterium tuberculosis was retrieved from NCBI website in FAST A sequence. By using the sequence, the amino acids composition was predicted to have alanine (14.1%) and followed closely by valine (11.8%). The GRAVY of this sequence is 0.097. The motif of the sequence cannot be predicted by using ScanProsite tool, therefore FingerPRINTScan tool was used. As a result, the Poaallergen seem to have almost similar sequence. The PSORTb program to predict bacterial protein subcellular localization prediction was used. The subcellular protein was found to localize at the cytoplasmic region with final score of 8.87. The The PSIPRED protein structure prediction server was used to predict the protein secondary structure. The most abundant structure found is the loop. The antigen epitopes of the protein sequence was predicted by using ProPred Web tool. The sequence that was found abundantly is VVF A VVL VF. Therefore, the sequence of VVF A VVL VF is most likely suitable to be the promiscuous binder of vaccine candidates.
format	Thesis
qualification_level	Bachelor degree
author	Mohamad Sarib, Nurul Syahirah
author_facet	Mohamad Sarib, Nurul Syahirah
author_sort	Mohamad Sarib, Nurul Syahirah
title	In silico identification of mycobacterium tuberculosis RV2969C membrane protein: an approach towards vaccinology / Nurul Syahirah Mohamad Sarib
title_short	In silico identification of mycobacterium tuberculosis RV2969C membrane protein: an approach towards vaccinology / Nurul Syahirah Mohamad Sarib
title_full	In silico identification of mycobacterium tuberculosis RV2969C membrane protein: an approach towards vaccinology / Nurul Syahirah Mohamad Sarib
title_fullStr	In silico identification of mycobacterium tuberculosis RV2969C membrane protein: an approach towards vaccinology / Nurul Syahirah Mohamad Sarib
title_full_unstemmed	In silico identification of mycobacterium tuberculosis RV2969C membrane protein: an approach towards vaccinology / Nurul Syahirah Mohamad Sarib
title_sort	in silico identification of mycobacterium tuberculosis rv2969c membrane protein: an approach towards vaccinology / nurul syahirah mohamad sarib
granting_institution	Universiti Teknologi MARA (Kampus Puncak Alam)
granting_department	Faculty of Pharmacy
publishDate	2008
url	https://ir.uitm.edu.my/id/eprint/101008/1/101008.PDF
_version_	1811769118913724416

In silico identification of mycobacterium tuberculosis RV2969C membrane protein: an approach towards vaccinology / Nurul Syahirah Mohamad Sarib

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