Chrome Extension
WeChat Mini Program
Use on ChatGLM

Metal-Bound Methisazone; Novel Drugs Targeting Prophylaxis and Treatment of SARS-CoV-2, a Molecular Docking Study

Ahmed Abdelaal Ahmed Mahmoud M. Alkhatip, Michail Georgakis, Lucio R. Montero Valenzuela, Mohamed Hamza, Ehab Farag, Jaqui Hodgkinson, Hisham Hosny, Ahmed M. Kamal, Mohamed Wagih, Amr Naguib, Hany Yassin, Haytham Algameel, Mohamed Elayashy, Mohamed Abdelhaq, Mohamed I. Younis, Hassan Mohamed, Mohammed Abdulshafi, Mohamed A. Elramely

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES(2021)

Cited 3|Views13
No score
Abstract
SARS-CoV-2 currently lacks effective first-line drug treatment. We present promising data from in silico docking studies of new Methisazone compounds (modified with calcium, Ca; iron, Fe; magnesium, Mg; manganese, Mn; or zinc, Zn) designed to bind more strongly to key proteins involved in replication of SARS-CoV-2. In this in silico molecular docking study, we investigated the inhibiting role of Methisazone and the modified drugs against SARS-CoV-2 proteins: ribonucleic acid (RNA)-dependent RNA polymerase (RdRp), spike protein, papain-like protease (PlPr), and main protease (MPro). We found that the highest binding interactions were found with the spike protein (6VYB), with the highest overall binding being observed with Mn-bound Methisazone at -8.3 kcal/mol, followed by Zn and Ca at -8.0 kcal/mol, and Fe and Mg at -7.9 kcal/mol. We also found that the metal-modified Methisazone had higher affinity for PlPr and MPro. In addition, we identified multiple binding pockets that could be singly or multiply occupied on all proteins tested. The best binding energy was with Mn-Methisazone versus spike protein, and the largest cumulative increases in binding energies were found with PlPr. We suggest that further studies are warranted to identify whether these compounds may be effective for treatment and/or prophylaxis.
More
Translated text
Key words
COVID-19,SARS-CoV-2,molecular docking,treatment,prophylaxis
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined