In Silico Optimisation Of Domain Antibodies Against HSP16.3 From Mycobacterium Tuberculosis

In Silico Optimisation Of Domain Antibodies Against HSP16.3 From Mycobacterium Tuberculosis

Heat shock protein 16.3 (HSP16.3) from Mycobacterium tuberculosis (Mtb) is critical for its survival during latent infection in human, thus making it an attractive target for developing diagnostic and therapeutic strategies. The predicted structure of HSP16.3 was docked against a known HSP hydrophob...

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Main Author: Soong, Jia Xin
Format: Thesis
Language:English
Published: 2018
Subjects:
R735-854 Medical education. Medical schools. Research
Online Access:http://eprints.usm.my/44132/1/SOONG%20JIA%20XIN.pdf
http://eprints.usm.my/44132/
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Institution: Universiti Sains Malaysia
Language: English
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spelling my.usm.eprints.44132 http://eprints.usm.my/44132/ In Silico Optimisation Of Domain Antibodies Against HSP16.3 From Mycobacterium Tuberculosis Soong, Jia Xin R735-854 Medical education. Medical schools. Research Heat shock protein 16.3 (HSP16.3) from Mycobacterium tuberculosis (Mtb) is critical for its survival during latent infection in human, thus making it an attractive target for developing diagnostic and therapeutic strategies. The predicted structure of HSP16.3 was docked against a known HSP hydrophobic probe, namely 4,4′-dianilino-1,1′-binaphthyl-5,5′-disulfonic acid (bisANS) and to the comparative models of HSP16.3 specific single domain antibodies (sdAbs), clone E3 and F1. The binding interactions were further elucidated by free energy calculations. The non-polar interactions were identified as the main force for antigen-antibody association. 2018-03 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/44132/1/SOONG%20JIA%20XIN.pdf Soong, Jia Xin (2018) In Silico Optimisation Of Domain Antibodies Against HSP16.3 From Mycobacterium Tuberculosis. Masters thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic R735-854 Medical education. Medical schools. Research
spellingShingle R735-854 Medical education. Medical schools. Research
Soong, Jia Xin
In Silico Optimisation Of Domain Antibodies Against HSP16.3 From Mycobacterium Tuberculosis
description Heat shock protein 16.3 (HSP16.3) from Mycobacterium tuberculosis (Mtb) is critical for its survival during latent infection in human, thus making it an attractive target for developing diagnostic and therapeutic strategies. The predicted structure of HSP16.3 was docked against a known HSP hydrophobic probe, namely 4,4′-dianilino-1,1′-binaphthyl-5,5′-disulfonic acid (bisANS) and to the comparative models of HSP16.3 specific single domain antibodies (sdAbs), clone E3 and F1. The binding interactions were further elucidated by free energy calculations. The non-polar interactions were identified as the main force for antigen-antibody association.
format Thesis
author Soong, Jia Xin
author_facet Soong, Jia Xin
author_sort Soong, Jia Xin
title In Silico Optimisation Of Domain Antibodies Against HSP16.3 From Mycobacterium Tuberculosis
title_short In Silico Optimisation Of Domain Antibodies Against HSP16.3 From Mycobacterium Tuberculosis
title_full In Silico Optimisation Of Domain Antibodies Against HSP16.3 From Mycobacterium Tuberculosis
title_fullStr In Silico Optimisation Of Domain Antibodies Against HSP16.3 From Mycobacterium Tuberculosis
title_full_unstemmed In Silico Optimisation Of Domain Antibodies Against HSP16.3 From Mycobacterium Tuberculosis
title_sort in silico optimisation of domain antibodies against hsp16.3 from mycobacterium tuberculosis
publishDate 2018
url http://eprints.usm.my/44132/1/SOONG%20JIA%20XIN.pdf
http://eprints.usm.my/44132/
_version_ 1643710924822937600

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