Plant-derived compounds effectively inhibit the main protease of SARS-CoV-2: An in silico approach

被引:10
作者
Mahmud, Shafi [1 ,2 ]
Afrose, Shamima [3 ]
Biswas, Suvro [4 ]
Nagata, Abir [5 ]
Paul, Gobindo Kumar [4 ]
Mita, Mohasana Akter [3 ]
Hasan, Md Robiul [3 ]
Shimu, Mst Sharmin Sultana [3 ]
Zaman, Shahriar [4 ]
Uddin, Md Salah [4 ]
Islam, Md Sayeedul [6 ]
Abu Saleh, Md [4 ]
机构
[1] Australian Natl Univ, Div Genome Sci & Canc, John Curtin Sch Med Res, Canberra, ACT, Australia
[2] Australian Natl Univ, Shine Dalgarno Ctr RNA Innovat, Canberra, ACT, Australia
[3] Univ Rajshahi, Dept Genet Engn & Biotechnol, Rajshahi, Bangladesh
[4] Univ Rajshahi, Dept Genet Engn & Biotechnol, Microbiol Lab, Rajshahi, Bangladesh
[5] Osaka Univ, Grad Sch Med, Dept Regenerat Dermatol, Suita, Osaka, Japan
[6] Osaka Univ, Grad Sch Sci, Dept Biol Sci, Toyonaka, Osaka, Japan
关键词
NATURAL-PRODUCTS; ANTIINFLAMMATORY ACTIVITY; CORONAVIRUS; ANTHOCYANINS; CLEOMISCOSIN; SIMULATION; DOCKING; SEARCH; DESIGN; TOOL;
D O I
10.1371/journal.pone.0273341
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The current coronavirus disease 2019 (COVID-19) pandemic, caused by the coronavirus 2 (SARS-CoV-2), involves severe acute respiratory syndrome and poses unprecedented challenges to global health. Structure-based drug design techniques have been developed targeting the main protease of the SARS-CoV-2, responsible for viral replication and transcription, to rapidly identify effective inhibitors and therapeutic targets. Herein, we constructed a phytochemical dataset of 1154 compounds using deep literature mining and explored their potential to bind with and inhibit the main protease of SARS-CoV-2. The three most effective phytochemicals Cosmosiine, Pelargonidin-3-O-glucoside, and Cleomiscosin A had binding energies of -8.4, -8.4, and -8.2 kcal/mol, respectively, in the docking analysis. These molecules could bind to Gln189, Glu166, Cys145, His41, and Met165 residues on the active site of the targeted protein, leading to specific inhibition. The pharmacological characteristics and toxicity of these compounds, examined using absorption, distribution, metabolism, excretion, and toxicity (ADMET) analyses, revealed no carcinogenicity or toxicity. Furthermore, the complexes were simulated with molecular dynamics for 100 ns to calculate the root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), solvent-accessible surface area (SASA), and hydrogen profiles from the simulation trajectories. Our analysis validated the rigidity of the docked protein-ligand. Taken together, our computational study findings might help develop potential drugs to combat the main protease of the SARS-CoV-2 and help alleviate the severity of the pandemic.
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页数:19
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