In Silico Screening of Natural Products as Potential Inhibitors of SARS-CoV-2 Using Molecular Docking Simulation

Hossain, Rajib; Sarkar, Chandan; Hassan, Shardar Mohammad Hafiz; Khan, Rasel Ahmed; Arman, Mohammad; Ray, Pranta; Islam, Muhammad Torequl; Dastan, Sevgi Durna; Sharifi-Rad, Javad; Almarhoon, Zainab M.; Martorell, Miquel; Setzer, William N.; Calina, Daniela

Abstract

Objective To explore potential natural products against severe acute respiratory syndrome coronavirus (SARS-CoV-2) via the study of structural and non-structural proteins of human coronaviruses. Methods In this study, we performed an in-silico survey of 25 potential natural compounds acting against SARS-CoV-2. Molecular docking studies were carried out using compounds against 3-chymotrypsin-like protease (3CL(PRO)), papain-like protease (PLPRO), RNA-dependent RNA polymerase (RdRp), non-structural protein (nsp), human angiotensin converting enzyme 2 receptor (hACE2R), spike glycoprotein (S protein), abelson murine leukemia viral oncogene homolog 1 (ABL1), calcineurin-nuclear factor of activated T-cells (NFAT) and transmembrane protease serine 2. Results Among the screened compounds, amentoflavone showed the best binding affinity with the 3CL(PRO), RdRp, nsp13, nsp15, hACE2R. ABL1 and calcineurin-NFAT; berbamine with hACE2R and ABL1; cepharanthine with nsp10, nsp14, nsp16, S protein and ABL1; glucogallin with nsp15; and papyriflavonol A with PLPRO protein. Other good interacting compounds were juglanin, betulinic acid, betulonic acid, broussooflavan A, tomentin A, B and E, 7-methoxycryptopleurine, aloe emodin, quercetin, tanshinone I, tylophorine and furruginol, which also showed excellent binding affinity towards a number of target proteins. Most of these compounds showed better binding affinities towards the target proteins than the standard drugs used in this study. Conclusion Natural products or their derivatives may be one of the potential targets to fight against SARS-CoV-2.

Más información

Título según WOS: In Silico Screening of Natural Products as Potential Inhibitors of SARS-CoV-2 Using Molecular Docking Simulation
Título de la Revista: CHINESE JOURNAL OF INTEGRATIVE MEDICINE
Volumen: 28
Número: 3
Editorial: Springer
Fecha de publicación: 2022
Página de inicio: 249
Página final: 256
DOI:

10.1007/s11655-021-3504-5

Notas: ISI