In silico screening of potential compounds from begonia genus as 3CL protease (3Cl pro) SARS-CoV-2 inhibitors
Background: The emergence of Coronavirus disease (COVID-19) has been declared a pandemic and made a medical emergency worldwide. Various attempts have been made, including optimizing effective treatments against the disease or developing a vaccine. Since the SARS-CoV-2 protease crystal structure has...
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2023-03-01T00:00:00Z.
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LEADER | 00000 am a22000003u 4500 | ||
---|---|---|---|
001 | doaj_e4c29e39892a4f328b9c35b9350ea820 | ||
042 | |a dc | ||
100 | 1 | 0 | |a Saipul Maulana |e author |
700 | 1 | 0 | |a Tutik S. Wahyuni |e author |
700 | 1 | 0 | |a Prihartini Widiyanti |e author |
700 | 1 | 0 | |a Muhammad S. Zubair |e author |
245 | 0 | 0 | |a In silico screening of potential compounds from begonia genus as 3CL protease (3Cl pro) SARS-CoV-2 inhibitors |
260 | |b AOSIS, |c 2023-03-01T00:00:00Z. | ||
500 | |a 2038-9922 | ||
500 | |a 2038-9930 | ||
500 | |a 10.4081/jphia.2023.2508 | ||
520 | |a Background: The emergence of Coronavirus disease (COVID-19) has been declared a pandemic and made a medical emergency worldwide. Various attempts have been made, including optimizing effective treatments against the disease or developing a vaccine. Since the SARS-CoV-2 protease crystal structure has been discovered, searching for its inhibitors by in silico technique becomes possible. Objective: This study aims to virtually screen the potential of phytoconstituents from the Begonia genus as 3Cl pro-SARS-CoV- 2 inhibitors, based on its crucial role in viral replication, hence making these proteases "promising" for the anti-SARS-CoV-2 target. Methods: In silico screening was carried out by molecular docking on the web-based program DockThor and validated by a retrospective method. Predictive binding affinity (Dock Score) was used for scoring the compounds. Further molecular dynamics on Desmond was performed to assess the complex stability. Results: Virtual screening protocol was valid with the area under curve value 0.913. Molecular docking revealed only β-sitosterol-3-O-β-D-glucopyranoside with a lower docking score of - 9.712 kcal/mol than positive control of indinavir. The molecular dynamic study showed that the compound was stable for the first 30 ns simulations time with Root Mean Square Deviation 3 Å, despite minor fluctuations observed at the end of simulation times. Root Mean Square Fluctuation of catalytic sites HIS41 and CYS145 was 0.756 Å and 0.773 Å, respectively. Conclusions: This result suggests that β-sitosterol-3-O-β-D- glucopyranoside might be a prospective metabolite compound that can be developed as anti-SARS-CoV-2. | ||
546 | |a EN | ||
690 | |a begonia | ||
690 | |a sars-cov-2 | ||
690 | |a 3-chymotrypsin-like protease (3clpro) | ||
690 | |a molecular docking | ||
690 | |a molecular dynamics | ||
690 | |a Public aspects of medicine | ||
690 | |a RA1-1270 | ||
655 | 7 | |a article |2 local | |
786 | 0 | |n Journal of Public Health in Africa, Vol 14, Iss 1 (2023) | |
787 | 0 | |n https://publichealthinafrica.org/index.php/jphia/article/view/109 | |
787 | 0 | |n https://doaj.org/toc/2038-9922 | |
787 | 0 | |n https://doaj.org/toc/2038-9930 | |
856 | 4 | 1 | |u https://doaj.org/article/e4c29e39892a4f328b9c35b9350ea820 |z Connect to this object online. |