Combined molecular docking and dynamics simulations studies of natural compounds as potent inhibitors against SARS-CoV-2 main protease

Main protease (Mpro) of SARS-CoV-2 is a key CoV enzyme that plays a pivotal role in mediating viral replication and transcription, making it an attractive drug target for SARS-CoV-2 the new strain of coronavirus. In this study, we evaluated biologically active compounds present in medicinal plants as potential SARS-CoV-2 Mpro inhibitors, using a molecular docking study with Autodock Vina software. Top seven compounds Afzelin, Phloroglucinol, Myricetin-3-O- rutinosid Tricin 7-neohesperidoside, Silybin, Kaempferol and Silychristin among 50 molecules of natural Origin (Algerian Medicinal plants) were selected which had better and significantly low binding energy as compared to the reference molecule with binding affinities of −9.3, −9.3, −9, −8.9, −8.5, 8.3 and −8.3 kcal mol−1 respectively. Then, we analyzed the ADME properties of the best 7 ligands using the Web server SwissADME. Two of small molecules have been shown to be the ideal candidates for further drug development. Finally, the stability of the both compounds complexed with Mpro was validated through molecular dynamics (MD) simulation, they displayed stable trajectory (RMSD, RMSF) and molecular properties with consistent interaction profile in molecular dynamics simulations, moreover, Silybin could form more stable complex with Mpro than Silychristin.Communicated by Ramaswamy H. Sarma

• main protease
• Mpro inhibitors
• natural compounds
• medicinal plants
• Algerian medicinal plants
• afzelin
• phloroglucinol
• myricetin
• silibinin
• kaempferol
• silychristin
• ADME properties
• protein-ligand binding affinity
• complex stability

• 3 — الصحة الجيدة والرفاه

• Computational Drug Discovery Methods
• SARS-CoV-2 and COVID-19 Research
• Protein Interaction Studies and Fluorescence Analysis
• main protease
• Mpro inhibitors
• natural compounds
• medicinal plants
• Algerian medicinal plants
• afzelin
• phloroglucinol
• myricetin
• Computational Theory and Mathematics
• Infectious Diseases
• Molecular Biology
• Computer Science
• Medicine
• Biochemistry, Genetics and Molecular Biology