<em>Shigella</em> pathogenesis: molecular and computational insights
Shigellosis, characterized by inflammation and ulceration of the large intestine, is caused by infection with <em>Shigella</em> species. It is a major public health problem in developing countries where filthy sanitation practices and restricted access to clean water encourage the spread...
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| Format: | Article |
| Language: | English |
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AIMS Press
2020-07-01
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| Series: | AIMS Molecular Science |
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| Online Access: | https://www.aimspress.com/article/10.3934/molsci.2020007/fulltext.html |
| _version_ | 1818493624204132352 |
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| author | Sarmishta Mukhopadhyay Sayak Ganguli Santanu Chakrabarti |
| author_facet | Sarmishta Mukhopadhyay Sayak Ganguli Santanu Chakrabarti |
| author_sort | Sarmishta Mukhopadhyay |
| collection | DOAJ |
| description | Shigellosis, characterized by inflammation and ulceration of the large intestine, is caused by infection with <em>Shigella</em> species. It is a major public health problem in developing countries where filthy sanitation practices and restricted access to clean water encourage the spread of the disease. Shigellosis is spread by means of fecal-oral route. It is one of the most common disorders specially affecting children in West Bengal, India. Disease from <em>Shigella</em> species accounts for 165 million cases of diarrhoea culminating in one million deaths annually worldwide. Severe dysentery is treated still with antibiotics, with limited success because of the continuous development of multi drug resistance by the bacteria. WHO has identified <em>Shigella</em> as a potential target pathogen against which new drugs need to be formulated and <em>in silico</em> approach has the potential to identify drug targets. Molecular modeling of <em>Shigella</em> invasion proteins using computational tools may divulge novel therapeutic targets that can be used for future pharmacological intervention. Detailed annotation of previously unknown Hypothetical Proteins using an <em>in-silico</em> pipeline can identify crucial proteins in pathogenesis cascade, which can be explored further as effective drug targets, which may eventually enable us to combat the menace of shigellosis. |
| first_indexed | 2024-12-10T17:57:15Z |
| format | Article |
| id | doaj.art-04dbd2765b21446aa43141785eb6309a |
| institution | Directory Open Access Journal |
| issn | 2372-0301 |
| language | English |
| last_indexed | 2024-12-10T17:57:15Z |
| publishDate | 2020-07-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Molecular Science |
| spelling | doaj.art-04dbd2765b21446aa43141785eb6309a2022-12-22T01:38:53ZengAIMS PressAIMS Molecular Science2372-03012020-07-01729912110.3934/molsci.2020007<em>Shigella</em> pathogenesis: molecular and computational insightsSarmishta Mukhopadhyay0Sayak Ganguli1Santanu Chakrabarti21 Department of Zoology, Government General Degree College, Singur, West Bengal, India2 Department of Biotechnology, St. Xavier’s College (Autonomous), Kolkata-700016, India1 Department of Zoology, Government General Degree College, Singur, West Bengal, IndiaShigellosis, characterized by inflammation and ulceration of the large intestine, is caused by infection with <em>Shigella</em> species. It is a major public health problem in developing countries where filthy sanitation practices and restricted access to clean water encourage the spread of the disease. Shigellosis is spread by means of fecal-oral route. It is one of the most common disorders specially affecting children in West Bengal, India. Disease from <em>Shigella</em> species accounts for 165 million cases of diarrhoea culminating in one million deaths annually worldwide. Severe dysentery is treated still with antibiotics, with limited success because of the continuous development of multi drug resistance by the bacteria. WHO has identified <em>Shigella</em> as a potential target pathogen against which new drugs need to be formulated and <em>in silico</em> approach has the potential to identify drug targets. Molecular modeling of <em>Shigella</em> invasion proteins using computational tools may divulge novel therapeutic targets that can be used for future pharmacological intervention. Detailed annotation of previously unknown Hypothetical Proteins using an <em>in-silico</em> pipeline can identify crucial proteins in pathogenesis cascade, which can be explored further as effective drug targets, which may eventually enable us to combat the menace of shigellosis.https://www.aimspress.com/article/10.3934/molsci.2020007/fulltext.htmldrug designin silicoshigella pathogenesisshigellosist3ss effectors |
| spellingShingle | Sarmishta Mukhopadhyay Sayak Ganguli Santanu Chakrabarti <em>Shigella</em> pathogenesis: molecular and computational insights AIMS Molecular Science drug design in silico shigella pathogenesis shigellosis t3ss effectors |
| title | <em>Shigella</em> pathogenesis: molecular and computational insights |
| title_full | <em>Shigella</em> pathogenesis: molecular and computational insights |
| title_fullStr | <em>Shigella</em> pathogenesis: molecular and computational insights |
| title_full_unstemmed | <em>Shigella</em> pathogenesis: molecular and computational insights |
| title_short | <em>Shigella</em> pathogenesis: molecular and computational insights |
| title_sort | em shigella em pathogenesis molecular and computational insights |
| topic | drug design in silico shigella pathogenesis shigellosis t3ss effectors |
| url | https://www.aimspress.com/article/10.3934/molsci.2020007/fulltext.html |
| work_keys_str_mv | AT sarmishtamukhopadhyay emshigellaempathogenesismolecularandcomputationalinsights AT sayakganguli emshigellaempathogenesismolecularandcomputationalinsights AT santanuchakrabarti emshigellaempathogenesismolecularandcomputationalinsights |