Drug repurposing and computational modeling for discovery of inhibitors of the main protease (Mpro) of SARS-CoV-2

被引:13
|
作者
Silva, Jose Rogerio A. [1 ]
Kruger, Hendrik G. [2 ]
Molfetta, Fabio A. [3 ]
机构
[1] Univ Fed Para, Inst Ciencias Exatas & Nat, Lab Planejamento & Desenvolvimento Farmacos, BR-66075110 Belem, Para, Brazil
[2] Univ KwaZulu Natal, Catalysis & Peptide Res Unit, ZA-4000 Durban, South Africa
[3] Univ Fed Para, Inst Ciencias Exatas & Nat, Lab Modelagem Mol, CP 11101, BR-60075110 Belem, Para, Brazil
关键词
MOLECULAR-DYNAMICS SIMULATIONS; GENETIC ALGORITHM; CORONAVIRUS; BINDING; DESIGN; IDENTIFICATION; VALIDATION; SOLVENT; COMPLEX; SYSTEM;
D O I
10.1039/d1ra03956c
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The main protease (M-pro or 3CL(pro)) is a conserved cysteine protease from the coronaviruses and started to be considered an important drug target for developing antivirals, as it produced a deadly outbreak of COVID-19. Herein, we used a combination of drug reposition and computational modeling approaches including molecular docking, molecular dynamics (MD) simulations, and the calculated binding free energy to evaluate a set of drugs in complex with the M-pro enzyme. Particularly, our results show that darunavir and triptorelin drugs have favorable binding free energy (-63.70 and -77.28 kcal mol(-1), respectively) in complex with the M-pro enzyme. Based on the results, the structural and energetic features that explain why some drugs can be repositioned to inhibit M-pro from SARS-CoV-2 were exposed. These features should be considered for the design of novel M-pro inhibitors.
引用
收藏
页码:23450 / 23458
页数:9
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