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In silico prediction of potential inhibitors for SARS-CoV-2 Omicron variant using molecular docking and dynamics simulation-based drug repurposing |
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| Authors: | Mohamed Eslam A R Abdel-Rahman Islam M Zaki Magdi E A Al-Khdhairawi Ahmad Abdelhamid Mahmoud M Alqaisi Ahmad M Rahim Lyana binti Abd Abu-Hussein Bilal El-Sheikh Azza A K Abdelwahab Sayed F Hassan Heba Ali |
| Institution: | 1.Department of Chemistry, University of Agriculture, Faisalabad, 38000, Pakistan ;2.Physics Department, College of Science, Jouf University, Al Jouf, P.O. Box 2014, Sakaka, Saudi Arabia ;3.Department of Chemistry, College of Science University of Bahrain, P.O. Box 32038, Zallaq, Bahrain ;4.Department of Chemistry, College of Science, Taif University, P.O Box 11099, Taif, 21944, Saudi Arabia ;5.Science and Technology Unit (STU), Umm Al Qura University, Makkah, 21955, Saudi Arabia ;6.Physics Department, Faculty of Science, University of Tabuk, Tabuk, 71421, Saudi Arabia ; |
| Abstract: | Journal of Molecular Modeling - |
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