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https://scidar.kg.ac.rs/handle/123456789/19092| Title: | Molecular Docking Assessment of Cathinones as 5-HT2AR Ligands: Developing of Predictive Structure-Based Bioactive Conformations and Three-Dimensional Structure-Activity Relationships Models for Future Recognition of Abuse Drugs |
| Authors: | Tomašević, Nevena Vujovic, Maja Kostić, Emilija Ragavendran V. Arsić, Biljana Matić, Sanja Božović, Mijat fioravanti, rossella Proia, Eleonora Ragno, Rino Mladenović, Milan |
| Issue Date: | 2023 |
| Abstract: | Commercially available cathinones are drugs of long-term abuse drugs whose pharmacology is fairly well understood. While their psychedelic effects are associated with 5-HT2AR, the enclosed study summarizes efforts to shed light on the pharmacodynamic profiles, not yet known at the receptor level, using molecular docking and three-dimensional quantitative structure-activity relationship (3-D QSAR) studies. The bioactive conformations of cathinones were modeled by AutoDock Vina and were used to build structure-based (SB) 3-D QSAR models using the Open3DQSAR engine. Graphical inspection of the results led to the depiction of a 3-D structure analysis-activity relationship (SAR) scheme that could be used as a guideline for molecular determinants by which any untested cathinone molecule can be predicted as a potential 5-HT2AR binder prior to experimental evaluation. The obtained models, which showed a good agreement with the chemical properties of co-crystallized 5-HT2AR ligands, proved to be valuable for future virtual screening campaigns to recognize unused cathinones and similar compounds, such as 5-HT2AR ligands, minimizing both time and financial resources for the characterization of their psychedelic effects. |
| URI: | https://scidar.kg.ac.rs/handle/123456789/19092 |
| Type: | article |
| DOI: | 10.3390/molecules28176236 |
| Appears in Collections: | Institute for Information Technologies, Kragujevac |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| molecules-28-06236.pdf | 2.93 MB | Adobe PDF | ![]() View/Open |
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