Computational Deorphaning of Mycobacterium tuberculosis Targets
Tuberculosis (TB) continues to be a major health hazard worldwide due to the resurgence of drug discovery strains of Mycobacterium tuberculosis (Mtb) and co-infection. For decades drug discovery has concentrated on identifying ligands for ~10 Mtb targets, hence most of the identified essential prote...
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| Main Authors: | , , , |
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| Format: | Book chapter |
| Language: | English |
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IntechOpen
2022
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| Online Access: | http://hdl.handle.net/11408/4894 |
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| _version_ | 1779905223177797632 |
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| author | Bishi, Lorraine Yamurai Vedithi, Sundeep Chaitanya Blundell, Tom L. Mugumbate, Grace Chitima |
| author_facet | Bishi, Lorraine Yamurai Vedithi, Sundeep Chaitanya Blundell, Tom L. Mugumbate, Grace Chitima |
| author_sort | Bishi, Lorraine Yamurai |
| collection | DSpace |
| description | Tuberculosis (TB) continues to be a major health hazard worldwide due to the resurgence of drug discovery strains of Mycobacterium tuberculosis (Mtb) and co-infection. For decades drug discovery has concentrated on identifying ligands for ~10 Mtb targets, hence most of the identified essential proteins are not utilised in TB chemotherapy. Here computational techniques were used to identify ligands for the orphan Mtb proteins. These range from ligand-based and structure-based virtual screening modelling the proteome of the bacterium. Identification of ligands for most of the Mtb proteins will provide novel TB drugs and targets and hence address drug resistance, toxicity and the duration of TB treatment. |
| format | Book chapter |
| id | ir-11408-4894 |
| institution | My University |
| language | English |
| publishDate | 2022 |
| publisher | IntechOpen |
| record_format | dspace |
| spelling | ir-11408-48942022-06-28T07:41:28Z Computational Deorphaning of Mycobacterium tuberculosis Targets Bishi, Lorraine Yamurai Vedithi, Sundeep Chaitanya Blundell, Tom L. Mugumbate, Grace Chitima Mycobacterium tuberculosis target deorphaning target deconvolution proteome modelling virtual screening Tuberculosis (TB) continues to be a major health hazard worldwide due to the resurgence of drug discovery strains of Mycobacterium tuberculosis (Mtb) and co-infection. For decades drug discovery has concentrated on identifying ligands for ~10 Mtb targets, hence most of the identified essential proteins are not utilised in TB chemotherapy. Here computational techniques were used to identify ligands for the orphan Mtb proteins. These range from ligand-based and structure-based virtual screening modelling the proteome of the bacterium. Identification of ligands for most of the Mtb proteins will provide novel TB drugs and targets and hence address drug resistance, toxicity and the duration of TB treatment. 2022-06-28T07:41:28Z 2022-06-28T07:41:28Z 2019 Book chapter 978-1-78923-976-8 DOI: 10.5772/intechopen.82374 http://hdl.handle.net/11408/4894 en Drug Discovery and Development - New Advances;Chapter 4. open IntechOpen |
| spellingShingle | Mycobacterium tuberculosis target deorphaning target deconvolution proteome modelling virtual screening Bishi, Lorraine Yamurai Vedithi, Sundeep Chaitanya Blundell, Tom L. Mugumbate, Grace Chitima Computational Deorphaning of Mycobacterium tuberculosis Targets |
| title | Computational Deorphaning of Mycobacterium tuberculosis Targets |
| title_full | Computational Deorphaning of Mycobacterium tuberculosis Targets |
| title_fullStr | Computational Deorphaning of Mycobacterium tuberculosis Targets |
| title_full_unstemmed | Computational Deorphaning of Mycobacterium tuberculosis Targets |
| title_short | Computational Deorphaning of Mycobacterium tuberculosis Targets |
| title_sort | computational deorphaning of mycobacterium tuberculosis targets |
| topic | Mycobacterium tuberculosis target deorphaning target deconvolution proteome modelling virtual screening |
| url | http://hdl.handle.net/11408/4894 |
| work_keys_str_mv | AT bishilorraineyamurai computationaldeorphaningofmycobacteriumtuberculosistargets AT vedithisundeepchaitanya computationaldeorphaningofmycobacteriumtuberculosistargets AT blundelltoml computationaldeorphaningofmycobacteriumtuberculosistargets AT mugumbategracechitima computationaldeorphaningofmycobacteriumtuberculosistargets |