Computational Docking of Inflammatory Targets
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Corresponding Organization :
Other organizations : Modern University for Information and Technology, Baylor College of Medicine, University of Wasit, Hashemite University, Ain Shams University, University of Tabuk, Cairo University, King Saud University, Alexandria University, Nahda University, Tanta University, Zagazig University, University of the Pacific, Egyptian Government
Variable analysis
- The 3D protein structures were downloaded from the protein data bank.
- The protein-ligand interaction patterns were visualized by the BIOVIA Discovery Studio Visualizer v21.1.0.20298.
- The open-source software, Auto Dock Vina v1.1.2.26 was used for carrying out the docking study.
- Protein and ligand preparations were performed by MGL tools 1.5.7. and both files were saved as pdbqt which is the required format needed in Auto Dock Vina docking procedure.
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