Discovery of C-12 dithiocarbamate andrographolide analogues as inhibitors of SARS-CoV-2 main protease: In vitro and in silico studies.

A global crisis of coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has impacted millions of people's lives throughout the world. In parallel to vaccine development, identifying potential antiviral agents against SARS-CoV-2 has become an urgent need to combat COVID-19. One of the most attractive drug targets for discovering anti-SARS-CoV-2 agents is the main protease (Mpro), which plays a pivotal role in the viral life cycle. This study aimed to elucidate a series of twenty-one 12-dithiocarbamate-14-deoxyandrographolide analogues as SARS-CoV-2 Mpro inhibitors using in vitro and in silico studies. These compounds were initially screened for the inhibitory activity toward SARS-CoV-2 Mpro by in vitro enzyme-based assay. We found that compounds 3 k, 3 l, 3 m and 3 t showed promising inhibitory activity against SARS-CoV-2 Mpro with >50% inhibition at 10 μM. Afterward, the binding mode of each compound in the active site of SARS-CoV-2 Mpro was explored by molecular docking. The optimum docked complexes were then chosen and subjected to molecular dynamic (MD) simulations. The MD results suggested that all studied complexes were stable along the simulation time, and most of the compounds could fit well with the SARS-CoV-2 Mpro active site, particularly at S1, S2 and S4 subsites. The per-residue decomposition free energy calculations indicated that the hot-spot residues essential for ligand binding were T25, H41, C44, S46, M49, C145, H163, M165, E166, L167, D187, R188, Q189 and T190. Therefore, the obtained information from the combined experimental and computational techniques could lead to further optimization of more specific and potent andrographolide analogues toward SARS-CoV-2 Mpro.

Nutho B ，Wilasluck P ，Deetanya P ，Wangkanont K ，Arsakhant P ，Saeeng R ，Rungrotmongkol T ... -  《Computational and Structural Biotechnology Journal》

Virtual screening and structure-based 3D pharmacophore approach to identify small-molecule inhibitors of SARS-CoV-2 M(pro).

Elseginy SA 《-》

Computational study on peptidomimetic inhibitors against SARS-CoV-2 main protease.

The emergence outbreak caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has received significant attention on the global risks. Due to itscrucial role in viral replication, the main protease 3CLpro is an important target for drug discovery and development to combat COVID-19. In this work, the structural and dynamic behaviors as well as binding efficiency of the four peptidomimetic inhibitors (N3, 11a, 13b, and 14b) recently co-crystalized with SARS-CoV-2 3CLpro were studied and compared using all-atom molecular dynamics (MD) simulations and solvated interaction energy-based binding free energy calculations. The per-residue decomposition free energy results suggested that the key residues involved in inhibitors binding were H41, M49, L141-C145, H163-E166, P168, and Q189-T190 in the domains I and II. The van der Waals interaction yielded the main energy contribution stabilizing all the focused inhibitors. Besides, their hydrogen bond formations with F140, G143, C145, H164, E166, and Q189 residues in the substrate-binding pocket were also essential for strengthening the molecular complexation. The predicted binding affinity of the four peptidomimetic inhibitors agreed with the reported experimental data, and the 13b showed the most efficient binding to SARS-CoV-2 3CLpro. From rational drug design strategies based on 13b, the polar moieties (e.g., benzamide) and the bulky N-terminal protecting groups (e.g., thiazole) should be introduced to P1' and P4 sites in order to enhance H-bonds and hydrophobic interactions, respectively. We hope that the obtained structural and energetic information could be beneficial for developing novel SARS-CoV-2 3CLpro inhibitors with higher inhibitory potency to combat COVID-19.

Somboon T ，Mahalapbutr P ，Sanachai K ，Maitarad P ，Lee VS ，Hannongbua S ，Rungrotmongkol T ... -  《-》

Deciphering the binding mechanism of inhibitors of the SARS-CoV-2 main protease through multiple replica accelerated molecular dynamics simulations and free energy landscapes.

Li M ，Liu X ，Zhang S ，Liang S ，Zhang Q ，Chen J ... -  《-》

Binding mechanism of inhibitors to SARS-CoV-2 main protease deciphered by multiple replica molecular dynamics simulations.

Liang S ，Liu X ，Zhang S ，Li M ，Zhang Q ，Chen J ... -  《-》