Computer-aided design, synthesis and evaluation of new SARS-CoV-2 Mpro inhibitors based on 1,5,6,7-tetrahydro-4H-indazol-4-one scaffold

被引:0
作者
Piven, Yuri A. [1 ]
Zinovich, Veronica G. [1 ]
Shcherbakov, Dmitriy N. [2 ,3 ]
Chirkova, Varvara Yu. [2 ]
Belenkaya, Svetlana V. [3 ]
Puzanau, Raman M. [4 ]
Khlebnicova, Tatyana S. [1 ]
Lakhvich, Fedor A. [1 ]
机构
[1] Natl Acad Sci Belarus, Inst Bioorgan Chem, Acad Kuprevicha St 5-2, Minsk 220141, BELARUS
[2] Altay State Univ, Leninski Pr 61, Barnaul 656049, Russia
[3] State Res Ctr Virol & Biotechnol Vector, Koltsov, Russia
[4] Hlth Care Inst Natl Antidoping Lab, Borovlyansky S-s,106-1, Lesnoy 223040, BELARUS
关键词
1; 5; 6; 7-Tetrahydro-4H-indazol-4-ones; SARS-CoV-2; M-pro; 3CL(pro); Molecular docking; Molecular dynamics; MAIN PROTEASE INHIBITORS; SARS; DRUGS;
D O I
10.1007/s00044-023-03174-z
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
A novel class of SARS-CoV-2 main protease (M-pro) inhibitors derived from 1,5,6,7-tetrahydro-4H-indazol-4-ones was designed. Virtual screening based on molecular docking followed by molecular dynamics simulation and MM/GBSA calculations was used for selecting compounds for synthesis and an evaluation. After testing 29 prepared compounds for activity against M-pro, two hits with IC50 values bellow 60 mu M were found with the best result of 27.31 mu M for racemic amide 9m. SAR and further possibilities for hit optimization were discussed. The effectiveness of different approaches (MM/GBSA and alchemical ABFE) for protein-ligand binding affinity prediction was assessed on the basis of obtained experimental data. The best convergence was achieved when we carried out long molecular dynamics simulations (200 ns) of complexes from docking followed by calculations of free binding energies with MM/GBSA method and explicit accounting of entropy. [GRAPHICS]
引用
收藏
页码:151 / 163
页数:13
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