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  • [\'Department of Electrical and Computer Engineering, Technical University Munich, Arcisstraße 21, 80333, München, Germany.\', \'Paderborn University, Warburger Str. 100, 33098, Paderborn, Germany.\', \'Department of Biotechnology, Faculty of Life Sciences and Informatics, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, 1800, Pakistan.\', \'Department of Medicine, Allama Iqbal Medical College, University of Health Sciences, Lahore, 54550, Pakistan; Center for Undiagnosed, Rare and Emerging Diseases, Lahore, 54550, Pakistan.\', \'Progenra Inc, 271A Great Valley Parkway, Malvern, PA, 19355, USA.\', \'Department of Biological Sciences, National University of Medical Sciences, Rawalpindi, Pakistan.\', \'Department of Medicine, Allama Iqbal Medical College, University of Health Sciences, Lahore, 54550, Pakistan.\', \'Department of Medicine, Allama Iqbal Medical College, University of Health Sciences, Lahore, 54550, Pakistan; Center for Undiagnosed, Rare and Emerging Diseases, Lahore, 54550, Pakistan; Department of Molecular Biology, Shaheed Zulfiqar Ali Bhutto Medical University, Islamabad, 44000, Pakistan. Electronic address: dr.zamankhan@gmail.com.\']
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  • -1
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?:doi
?:doi
  • S0010-4825(21)00843-X10.1016/j.compbiomed.2021.105049
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  • Computers in biology and medicine
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  • 34823857
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  • 68
?:title
  • Combined deep learning and molecular docking simulations approach identifies potentially effective FDA approved drugs for repurposing against SARS-CoV-2.
?:type
?:year
  • 2022

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