The main objective of this present study was to analyze the anti-inflammatory activity of the compound 1- 3- [3-(substituted phenyl) prop-2-enoyl) phenyl thiourea against inflammation receptors Secretory Phospholipase A2 (sPLA2-X), Cyclooxygenase-2 (COX-2), Interleukin-1 Receptor-associated Kinase 4 (IRAK4), Tumor Necrosis Factor (TNF-alpha) and Inducible Nitric Oxide Synthase 4 using various in-silico techniques. The 3D structures of the receptors were retrieved from Protein Data Bank in PDB format. The ligand molecule was sketched in Chemdraw Ultra v 10.0. The proteins and the ligand molecule were then individually prepared for docking using AutoDock Tools. Docking was performed using AutoDock Vina. Swiss-ADME and Pre-ADMET web servers were used for ADME, drug-likeness, and toxicity analysis. The receptor showing the best binding affinity with our ligand molecule was further analyzed via Molecular Dynamics (MD) Simulations using iMODS web server. The docking results revealed that our ligand molecule showed the best binding affinity with receptor sPLA2-X. The ADME analysis results of our ligand molecule were also good. MD Simulations study showed good results with our ligand- sPLA2-X receptor docked complex. This study revealed that our ligand molecule is a significant inhibitor sPLA2-X and can be further used as a potential therapy against inflammatory disorders.
Objective: This study was aimed to analyze the inhibitory effect of the flavonoid class of phytochemicals present in ginger (Zingiber Officinale), garlic (Allium sativum), and curry leaf (Murrayakoenigii) against some receptors of type-2 diabetes such as human aldose reductase receptor, mitogen synthase kinase receptor, as well as dipeptidyl peptidase receptor by implementing several in silico analysis techniques. Methods: The 3D structures of the flavonoid class of phytochemicals of all the three plants were retrieved from the PubChem database in 3D SDF format and were converted to PDB format using PyMol software. These phytochemicals were subjected to in silico tools such as SwissADME, Pre-ADMET, and iMODS web server. The PDB-IDs of the targeted receptors human aldose reductase, dipeptidyl peptidase-IV, and mitogen synthase kinase were retrieved from Protein Data Bank in PDB format. All these receptors were then prepared for docking procedure using Autodock Tools. Now, both the prepared proteins and ligands were subjected to docking analysis using Pyrex (AutodockVina). Results: Naringenin and kaempferol showed excellent docking results with the aldose reductase receptor. On the other hand, rutin showed the best docking score with dipeptidyl peptidase receptor-IV, whereas, epigallocatechin showed the best docking results with mitogen synthase kinase receptor. The ADME analysis showed that resveratrol had the best gastrointestinal absorption as well as high blood-brain barrier permeability. Conclusion: Overall, the molecular docking results when analyzed showed a good binding affinity with the targeted receptors of diabetes. The ADME analysis and molecular docking results of the phytochemicals concluded that these compounds can be used as a potential cure for treating diabetes.
Objective: This study was aimed to analyze the inhibitory effect of the drugs used in nanocarrier as well as nanoparticles formulation based drug delivery system selected from PubChem database literature against 3CLpro (3C-like protease) receptor of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) by implementing several in silico analysis techniques. Methods: This paper detailed a molecular docking-based virtual screening of 5240 compounds previously utilized in nanoparticle and nanocarrier drug delivery systems utilizing AutoDock Vina software on 3CL protease to discover potential inhibitors using a molecular docking technique. Results: According to the results of the screening, the top two compounds, PubChem Id 58823276 and PubChem Id 60838 exhibited a high affinity for the 3CL protease binding region. Their binding affinities were-9.6 and-8.5 kJ/mol, indicating that they were tightly bound to the target receptor, respectively. These results outperformed those obtained using the co-crystallized native ligand, which exhibited a binding affinity of-7.4 kJ/mol. PubChem Id 60838, the main hit compound in terms of both binding affinity and ADMET analysis, displayed substantial deformability after MD simulation. As a result of the VS and molecular docking techniques, novel 3CL protease inhibitors from the PubChem database were discovered using the Lipinski rule of five and functional molecular contacts with the target protein, as evidenced by the findings of this work. Conclusion: The findings suggest that the compounds discovered may represent attractive opportunities for the development of COVID-19 3CLpro inhibitors and that they need further evaluation and investigation.
Viral diseases continue to be a public threat on a global scale day by day and the world is in a continuing battle with the novel deadly viral Diseases and with no prompt medicines accessible the scourge brought about by the disease is expanding step by step. The ongoing need to develop new antiviral drugs with fewer side-effects and that are effective against viral pathogens has spurred the research community to invest in various drug discovery strategies, one of which is drug repurposing the methods of finding most promising existing compounds which has able to give best positive effects against viral infections. We present a docking?based screening using a quantum mechanical scoring of drug Curcumin with Proteins with PDB id’s 4B3V, 5LK0, 6BM8, 4QUZ, 6SJV, 1JLF, 5EG7, 7K40 could display antiviral activity against Rubella, Hanta, Herpes, Noro, papilloma, HIV, Influenza, COVID19. Clearly, these compounds should be further evaluated in experimental assays and clinical trials to confirm their actual activity against the viral disease. We hope that repurposing of the drug from our recommendation may contribute to the rational drug design against the above viruses.
Metronidazole is a synthetic nitroimidazole derived with antimicrobial and anti-inflammatory properties. The aqueous solubility of this drug is poor which results from low bioavailability. Limited effects on the removal of bacteria are shown in the local administration of plain metronidazole. The microemulsion system proves the efficacy of solubility and dissolution improvement of poorly watersoluble drugs such as metronidazole. The objective of this project work is to prepare and evaluate metronidazole containing topical water-in-oil microemulsion and to compare its effectiveness to other commercially available products. In this formulation, tween 80 is used as a surfactant and PEG 400 is used as a co-surfactant. In the oil phase, isopropyl myristate is used. Distilled water is used as the hydrophilic phase. The formulation of metronidazole containing microemulsion was evaluated for physicochemical parameters like pH, viscosity, conductivity, accelerated stability studies. In vitro release study was also performed to evaluate the release kinetics.
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