Your browser doesn't support javascript.
Computational View toward the Inhibition of SARS-CoV-2 Spike Glycoprotein and the 3CL Protease.
Qiao, Zhen; Zhang, Hongtao; Ji, Hai-Feng; Chen, Qian.
  • Qiao Z; Department of Orthopaedics, The Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI 02903, USA.
  • Zhang H; Departments of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19301, USA.
  • Ji HF; Department of Chemistry, Drexel University, Philadelphia, PA 19104, USA.
  • Chen Q; Department of Orthopaedics, The Warren Alpert Medical School of Brown University, Rhode Island Hospital, Providence, RI 02903, USA.
Computation (Basel) ; 8(2)2020 Jun.
Article in English | MEDLINE | ID: covidwho-1648681
ABSTRACT
Since the outbreak of the 2019 novel coronavirus disease (COVID-19), the medical research community is vigorously seeking a treatment to control the infection and save the lives of severely infected patients. The main potential candidates for the control of viruses are virally targeted agents. In this short letter, we report our calculations on the inhibitors for the SARS-CoV-2 3CL protease and the spike protein for the potential treatment of COVID-19. The results show that the most potent inhibitors of the SARS-CoV-2 3CL protease include saquinavir, tadalafil, rivaroxaban, sildenafil, dasatinib, etc. Ergotamine, amphotericin b, and vancomycin are most promising to block the interaction of the SARS-CoV-2 S-protein with human ACE-2.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Language: English Year: 2020 Document Type: Article Affiliation country: Computation8020053

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Language: English Year: 2020 Document Type: Article Affiliation country: Computation8020053