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Combined deep learning and molecular docking simulations approach identifies potentially effective FDA approved drugs for repurposing against SARS-CoV-2

Muhammad Umer Anwaar, Farjad Adnan, Asma Abro, Rayyan Azam Khan, Asad Ur Rehman, Muhammad Osama, Christopher Rainville, Suresh Kumar, David E. Sterner, Saad Javed, Syed Babar Jamal, Ahmadullah Baig, Muhammad Raffey Shabbir, Waseh Ahsan, Tauseef R. Butt, Muhammad Zaman Khan Assir

2021Computers in Biology and Medicine40 citationsDOIOpen Access PDF

Topics & Concepts

Drug repositioningPharmacologyRepurposingDocking (animal)DrugSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Approved drugCoronavirus disease 2019 (COVID-19)ChemistryComputational biologyMedicineBiologyInfectious disease (medical specialty)DiseasePathologyNursingEcologyComputational Drug Discovery MethodsSynthesis and biological activitySARS-CoV-2 and COVID-19 Research
Combined deep learning and molecular docking simulations approach identifies potentially effective FDA approved drugs for repurposing against SARS-CoV-2 | Litcius