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1.
Int J Mol Sci ; 24(10)2023 May 16.
Artículo en Inglés | MEDLINE | ID: covidwho-20232996

RESUMEN

When an epidemic started in the Chinese city of Wuhan in December 2019, coronavirus was identified as the cause. Infection by the virus occurs through the interaction of viral S protein with the hosts' angiotensin-converting enzyme 2. By leveraging resources such as the DrugBank database and bioinformatics techniques, ligands with potential activity against the SARS-CoV-2 spike protein were designed and identified in this investigation. The FTMap server and the Molegro software were used to determine the active site of the Spike-ACE2 protein's crystal structure. Virtual screening was performed using a pharmacophore model obtained from antiparasitic drugs, obtaining 2000 molecules from molport®. The ADME/Tox profiles were used to identify the most promising compounds with desirable drug characteristics. The binding affinity investigation was then conducted with selected candidates. A molecular docking study showed five structures with better binding affinity than hydroxychloroquine. Ligand_003 showed a binding affinity of -8.645 kcal·mol-1, which was considered an optimal value for the study. The values presented by ligand_033, ligand_013, ligand_044, and ligand_080 meet the profile of novel drugs. To choose compounds with favorable potential for synthesis, synthetic accessibility studies and similarity analyses were carried out. Molecular dynamics and theoretical IC50 values (ranging from 0.459 to 2.371 µM) demonstrate that these candidates are promising for further tests. Chemical descriptors showed that the candidates had strong molecule stability. Theoretical analyses here show that these molecules have potential as SARS-CoV-2 antivirals and therefore warrant further investigation.


Asunto(s)
COVID-19 , SARS-CoV-2 , Humanos , Simulación del Acoplamiento Molecular , Enzima Convertidora de Angiotensina 2 , Ligandos , Simulación de Dinámica Molecular , Antivirales/farmacología , Antivirales/química , Unión Proteica
2.
Int J Mol Sci ; 23(3)2022 Feb 04.
Artículo en Inglés | MEDLINE | ID: covidwho-1674670

RESUMEN

This study aimed to identify potential inhibitors and investigate the mechanism of action on SARS-CoV-2 ACE2 receptors using a molecular modeling study and theoretical determination of biological activity. Hydroxychloroquine was used as a pivot structure and antimalarial analogues of 1,2,4,5 tetraoxanes were used for the construction and evaluation of pharmacophoric models. The pharmacophore-based virtual screening was performed on the Molport® database (~7.9 million compounds) and obtained 313 structures. Additionally, a pharmacokinetic study was developed, obtaining 174 structures with 99% confidence for human intestinal absorption and penetration into the blood-brain barrier (BBB); posteriorly, a study of toxicological properties was realized. Toxicological predictions showed that the selected molecules do not present a risk of hepatotoxicity, carcinogenicity, mutagenicity, and skin irritation. Only 54 structures were selected for molecular docking studies, and five structures showed binding affinity (ΔG) values satisfactory for ACE2 receptors (PDB 6M0J), in which the molecule MolPort-007-913-111 had the best ΔG value of -8.540 Kcal/mol, followed by MolPort-002-693-933 with ΔG = -8.440 Kcal/mol. Theoretical determination of biological activity was realized for 54 structures, and five molecules showed potential protease inhibitors. Additionally, we investigated the Mpro receptor (6M0K) for the five structures via molecular docking, and we confirmed the possible interaction with the target. In parallel, we selected the TopsHits 9 with antiviral potential that evaluated synthetic accessibility for future synthesis studies and in vivo and in vitro tests.


Asunto(s)
Hidroxicloroquina/farmacología , SARS-CoV-2/efectos de los fármacos , Tetraoxanos/farmacología , Antivirales/farmacología , Sitios de Unión , Biología Computacional/métodos , Evaluación Preclínica de Medicamentos/métodos , Humanos , Hidroxicloroquina/análogos & derivados , Simulación del Acoplamiento Molecular/métodos , Simulación de Dinámica Molecular , Inhibidores de Proteasas/farmacología , Unión Proteica/efectos de los fármacos , SARS-CoV-2/patogenicidad , Glicoproteína de la Espiga del Coronavirus/metabolismo , Tratamiento Farmacológico de COVID-19
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