In Silico prediction of antibacterial activity of sesquiterpene lactones using density-functional theory and quantitative structure-activity relationship methods
The growing resistance developed by bacteria to antibiotics is a problem that involves every social stratum. Therefore, the development of new and effective anti-bacterial components is of vital importance for our society. Sesquiterpene Lactones (STL) are a group of secondary metabolites isolated fr...
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| Формат: | bachelorThesis |
| Мова: | eng |
| Опубліковано: |
2020
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| Предмети: | |
| Онлайн доступ: | http://repositorio.yachaytech.edu.ec/handle/123456789/291 |
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