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Journal Article
- Coumarin-based combined computational study to design novel drugs against Candida albicans
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Akhilesh Kumar Maurya , Nidhi Mishra
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J. Microbiol. 2022;60(12):1201-1207. Published online November 10, 2022
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DOI: https://doi.org/10.1007/s12275-022-2279-5
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Abstract
- Candida species cause the most prevalent fungal illness, candidiasis.
Candida albicans is known to cause bloodstream infections.
This species is a commensal bacterium, but it can
cause hospital–acquired diseases, particularly in COVID-19
patients with impaired immune systems. Candida infections
have increased in patients with acute respiratory distress syndrome.
Coumarins are both naturally occurring and synthetically
produced. In this study, the biological activity of 40 coumarin
derivatives was used to create a three-dimensional quantitative
structure activity relationship (3D-QSAR) model. The
training and test minimum inhibitory concentration values
of C. albicans active compounds were split, and a regression
model based on statistical data was established. This model
served as a foundation for the creation of coumarin derivative
QSARs. This is a unique way to create new therapeutic compounds
for various ailments. We constructed novel structural
coumarin derivatives using the derived QSAR model, and the
models were confirmed using molecular docking and molecular
dynamics simulation.
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