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1.
J Mol Model ; 27(11): 341, 2021 Nov 03.
Article in English | MEDLINE | ID: covidwho-1499466

ABSTRACT

From the beginning of pandemic, more than 240 million people have been infected with a death rate higher than 2%. Indeed, the current exit strategy involving the spreading of vaccines must be combined with progress in effective treatment development. This scenario is sadly supported by the vaccine's immune activation time and the inequalities in the global immunization schedule. Bringing the crises under control means providing the world population with accessible and impactful new therapeutics. We screened a natural product library that contains a unique collection of 2370 natural products into the binding site of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease (Mpro). According to the docking score and to the interaction at the active site, three phenylethanoid glycosides (forsythiaside A, isoacteoside, and verbascoside) were selected. In order to provide better insight into the atomistic interaction and test the impact of the three selected compounds at the binding site, we resorted to a half microsecond-long molecular dynamics simulation. As a result, we are showing that forsythiaside A is the most stable molecule and it is likely to possess the highest inhibitory effect against SARS-CoV-2 Mpro. Phenylethanoid glycosides also have been reported to have both protease and kinase activity. This kinase inhibitory activity is very beneficial in fighting viruses inside the body as kinases are required for viral entry, metabolism, and/or reproduction. The dual activity (kinase/protease) of phenylethanoid glycosides makes them very promising anit-COVID-19 agents.


Subject(s)
Antiviral Agents/pharmacology , Coronavirus 3C Proteases/antagonists & inhibitors , Coronavirus Protease Inhibitors/pharmacology , Glycosides/pharmacology , Antiviral Agents/chemistry , Binding Sites , Coronavirus 3C Proteases/chemistry , Coronavirus 3C Proteases/metabolism , Coronavirus Protease Inhibitors/chemistry , Drug Evaluation, Preclinical , Glucosides/chemistry , Glucosides/metabolism , Glucosides/pharmacology , Glycosides/chemistry , Glycosides/metabolism , Hydrogen Bonding , Molecular Docking Simulation , Molecular Dynamics Simulation , Phenols/chemistry , Phenols/metabolism , Phenols/pharmacology
2.
Comb Chem High Throughput Screen ; 24(6): 874-878, 2021.
Article in English | MEDLINE | ID: covidwho-895209

ABSTRACT

BACKGROUND: COVID-19 which is known as the novel coronavirus was reported in December 2019 in Wuhan city, China and many people have been contaminated by environmental contamination and transmission from one human to another until now. OBJECTIVE: The objective of the present work is to establish the inhibitory potential of nicotiflorin, a Kaempferol 3-O-rutinoside flavonoid, against the deadly coronavirus (COVID-19) 6W63 (main protease 3Clpro protein), using molecular docking approach. METHODS: The Molegro Virtual Docker software (MVD) with a 30 Å grid resolution was used. The structure was drawn by Chem 3D software and energy minimization was done by the MM2 force field. The protein 6W63 was downloaded from the protein data bank. Molegro modeller was used for score calculations. RESULT: The molecular docking studies were carried out on nicotiflorin and standard inhibitor X77, where standard inhibitor was observed in a co-crystallized state with main protease 3Clpro protein 6W63. The MolDock score, Rerank Sore, and H Bond score of nicotiflorin and standard inhibitor X77 were observed as -173.058, -127.302, -21.9398 and -156.913,-121.296,-5.7369, respectively. CONCLUSION: Molecular docking studies have confirmed that the affinity of flavonoid nicotiflorin with the amino acids of the viral protein 6W63 was relatively more than the standard X77. For the effective treatment of novel coronavirus COVID-19, the effectiveness of the identified flavonoid nicotiflorin can further be evaluated for safety and efficacy parameters at both preclinical and clinical stages.


Subject(s)
Coronavirus 3C Proteases/chemistry , Coronavirus 3C Proteases/metabolism , Flavonoids/chemistry , Phenols/chemistry , Antiviral Agents/chemistry , Antiviral Agents/metabolism , Catalytic Domain , Coronavirus 3C Proteases/antagonists & inhibitors , Flavonoids/metabolism , Molecular Docking Simulation , Phenols/metabolism
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