In Silico prediction of antibacterial activity of sesquiterpene lactones using density-functional theory and quantitative structure-activity relationship methods

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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Bibliographic Details
Main Author: Puga Montesdeoca, Fabián Aníbal (author)
Format: bachelorThesis
Language:eng
Published: 2020
Subjects:
Conformers
DFT
DFTB
Methicillin-Resistant Staphylococcus Aureus
xTB
CREST
ORCA
Descriptors
Online Access:http://repositorio.yachaytech.edu.ec/handle/123456789/291
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http://repositorio.yachaytech.edu.ec/handle/123456789/291

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