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Investigating the binding affinity, interaction, and structure-activity-relationship of 76 prescription antiviral drugs targeting RdRp and Mpro of SARS-CoV-2.
Ahmed, Sinthyia; Mahtarin, Rumana; Ahmed, Sayeda Samina; Akter, Shaila; Islam, Md Shamiul; Mamun, Abdulla Al; Islam, Rajib; Hossain, Md Nayeem; Ali, Md Ackas; Sultana, Mossammad U C; Parves, Md Rimon; Ullah, M Obayed; Halim, Mohammad A.
  • Ahmed S; Division of Infectious Diseases and Division of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Tejgaon, Dhaka, Bangladesh.
  • Mahtarin R; Division of Infectious Diseases and Division of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Tejgaon, Dhaka, Bangladesh.
  • Ahmed SS; Division of Infectious Diseases and Division of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Tejgaon, Dhaka, Bangladesh.
  • Akter S; Division of Infectious Diseases and Division of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Tejgaon, Dhaka, Bangladesh.
  • Islam MS; Division of Infectious Diseases and Division of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Tejgaon, Dhaka, Bangladesh.
  • Mamun AA; Key Laboratory of Soft Chemistry and Functional Materials of MOE, School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, China.
  • Islam R; Division of Infectious Diseases and Division of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Tejgaon, Dhaka, Bangladesh.
  • Hossain MN; Division of Infectious Diseases and Division of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Tejgaon, Dhaka, Bangladesh.
  • Ali MA; Division of Infectious Diseases and Division of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Tejgaon, Dhaka, Bangladesh.
  • Sultana MUC; Division of Infectious Diseases and Division of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Tejgaon, Dhaka, Bangladesh.
  • Parves MR; Division of Infectious Diseases and Division of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Tejgaon, Dhaka, Bangladesh.
  • Ullah MO; Division of Infectious Diseases and Division of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Tejgaon, Dhaka, Bangladesh.
  • Halim MA; Division of Infectious Diseases and Division of Computer Aided Drug Design, The Red-Green Research Centre, BICCB, Tejgaon, Dhaka, Bangladesh.
J Biomol Struct Dyn ; 39(16): 6290-6305, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-684174
ABSTRACT
SARS-CoV-2 virus outbreak poses a major threat to humans worldwide due to its highly contagious nature. In this study, molecular docking, molecular dynamics, and structure-activity relationship are employed to assess the binding affinity and interaction of 76 prescription drugs against RNA dependent RNA polymerase (RdRp) and Main Protease (Mpro) of SARS-CoV-2. The RNA-dependent RNA polymerase is a vital enzyme of coronavirus replication/transcription complex whereas the main protease acts on the proteolysis of replicase polyproteins. Among 76 prescription antiviral drugs, four drugs (Raltegravir, Simeprevir, Cobicistat, and Daclatasvir) that are previously used for human immunodeficiency virus (HIV), hepatitis C virus (HCV), Ebola, and Marburg virus show higher binding energy and strong interaction with active sites of the receptor proteins. To explore the dynamic nature of the interaction, 100 ns molecular dynamics (MD) simulation is performed on the selected protein-drug complexes and apo-protein. Binding free energy of the selected drugs is performed by MM/PBSA. Besides docking and dynamics, partial least square (PLS) regression method is applied for the quantitative structure activity relationship to generate and predict the binding energy for drugs. PLS regression satisfactorily predicts the binding energy of the effective antiviral drugs compared to binding energy achieved from molecular docking with a precision of 85%. This study highly recommends researchers to screen these potential drugs in vitro and in vivo against SARS-CoV-2 for further validation of utility.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Prescription Drugs / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: J Biomol Struct Dyn Year: 2021 Document Type: Article Affiliation country: 07391102.2020.1796804

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Prescription Drugs / COVID-19 Type of study: Prognostic study Limits: Humans Language: English Journal: J Biomol Struct Dyn Year: 2021 Document Type: Article Affiliation country: 07391102.2020.1796804