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Identification of potent compounds against SARs-CoV-2: An in-silico based drug searching against Mpro.
Hassam, Muhammad; Bashir, Muhammad Arslan; Shafi, Sarah; Zahra, Noor-Ul-Ain; Khan, Kanwal; Jalal, Khurshid; Siddiqui, Hina; Uddin, Reaz.
Affiliation
  • Hassam M; Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Pakistan.
  • Bashir MA; Department of Avionics Engineering, College of Aeronautical Engineering, National University of Science and Technology, Risalpur, Pakistan.
  • Shafi S; HEJ Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Pakistan.
  • Zahra NU; Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Pakistan; Institute of Organismic and Molecular Evolution, Faculty of Biology, Johannes Gutenberg Universität, 55128, Mainz, Germany.
  • Khan K; Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Pakistan.
  • Jalal K; HEJ Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Pakistan.
  • Siddiqui H; HEJ Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Pakistan.
  • Uddin R; Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Pakistan. Electronic address: mriazuddin@iccs.edu.
Comput Biol Med ; 151(Pt A): 106284, 2022 12.
Article in En | MEDLINE | ID: mdl-36370580
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Drug Treatment Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2022 Document type: Article
Fulltext
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Drug Treatment Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2022 Document type: Article