Article ; Online: Coumarin-based combined computational study to design novel drugs against Candida albicans.
Journal of microbiology (Seoul, Korea)
2022 Volume 60, Issue 12, Page(s) 1201–1207
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 ... ...
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. |
---|---|
MeSH term(s) | Humans ; Candida albicans ; Molecular Docking Simulation ; COVID-19 ; Coumarins/pharmacology ; Coumarins/chemistry ; Quantitative Structure-Activity Relationship ; Candidiasis ; Antifungal Agents/pharmacology ; Antifungal Agents/chemistry |
Chemical Substances | Coumarins ; Antifungal Agents |
Language | English |
Publishing date | 2022-11-10 |
Publishing country | Korea (South) |
Document type | Journal Article |
ZDB-ID | 2012399-1 |
ISSN | 1976-3794 ; 1225-8873 |
ISSN (online) | 1976-3794 |
ISSN | 1225-8873 |
DOI | 10.1007/s12275-022-2279-5 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
Full text online
More links
Kategorien
In stock of ZB MED Cologne/Königswinter
Zs.A 5211: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG) |
Order via subito
This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.