Article ; Online: Ligand based-design of potential schistosomiasis inhibitors through QSAR, homology modeling, molecular dynamics, pharmacokinetics, and DFT studies.
Journal of Taibah University Medical Sciences
2024 Volume 19, Issue 2, Page(s) 429–446
Abstract: Objectives: Schistosomiasis, a neglected tropical disease, is a leading cause of mortality in affected geographic areas. Currently, because no vaccine for schistosomiasis is available, control measures rely on widespread administration of the drug ... ...
| Abstract | Objectives: Schistosomiasis, a neglected tropical disease, is a leading cause of mortality in affected geographic areas. Currently, because no vaccine for schistosomiasis is available, control measures rely on widespread administration of the drug praziquantel (PZQ). The mass administration of PZQ has prompted concerns regarding the emergence of drug resistance. Therefore, new therapeutic targets and potential compounds are necessary to combat schistosomiasis. Methods: Twenty-four potent derivatives of PZQ were optimized via density functional theory (DFT) at the B3LYP/6-31G∗ level. Quantitative structureactivity relationship (QSAR) models were generated and statistically validated, and a lead candidate was selected to develop therapeutic options with improved efficacy against schistosomiasis. The biological and binding energies of the designed compounds were evaluated. In addition, molecular dynamics; drug-likeness; absorption, distribution, metabolism, excretion, and toxicity (ADMET); and DFT studies were performed on the newly designed compounds. Results: Five QSAR models were generated, among which model 1 had favorable validation parameters (R Conclusion: The proposed compounds exhibited potential drug characteristics, thus indicating their suitability for further investigation to enhance schistosomiasis treatment options. |
|---|---|
| Language | English |
| Publishing date | 2024-02-26 |
| Publishing country | Saudi Arabia |
| Document type | Journal Article |
| ZDB-ID | 2817396-X |
| ISSN | 1658-3612 ; 1658-3612 |
| ISSN (online) | 1658-3612 |
| ISSN | 1658-3612 |
| DOI | 10.1016/j.jtumed.2024.02.003 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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