Identifying Natural Products as Feline Coronavirus M<sup>pro</sup> Inhibitors by Structural-Based Virtual Screening and Enzyme-Based Assays

The main protease (M<sup>pro</sup>) is a pivotal target in the life cycle of feline coronavirus (FCoV), which causes a high mortality feline disease, feline infectious peritonitis (FIP). Virtual screening was performed against the feline coronavirus M<sup>pro</sup> to find active compounds with low toxicity from a library of natural products. Eighty-six compounds were selected by using the rank of docking score and binding pose analysis. In the enzyme-based assay, 12 compounds showed a more than 40% inhibitory effect on M<sup>pro</sup> at a concentration of 200 μmol/L. The IC<sub>50</sub> values of theaflavin 3,3'-digallate (25.0 μmol/L), sennoside C (25.2 μmol/L), pinocembrin-galloyl-HHDP-G (33.3 μmol/L), and thonningianin A (50.6 μmol/L) were determined. In addition, curcuminoids (51.7-64.3% under 200 μmol/L) and flavonoids (41.3-60.3% under 200 μmol/L) also exhibited certain inhibitory effects on M<sup>pro</sup>. Molecular dynamics simulations and binding free energy calculations were employed to reveal the atomic details of the binding of these compounds with M<sup>pro</sup>. The results showed that most of the compounds formed significant interactions with key residues on the catalytic site, such as His-41, Cys-144, and Glu-165. These compounds could serve as a starting point to develop FCoV M<sup>pro</sup> inhibitors with high potency.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2025-01-10
DOI
https://doi.org/10.1021/acsomega.4c08601
Citations
2
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
3.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identifying Natural Products as Feline Coronavirus Mpro Inhibitors by Structural-Based Virtual Screening and Enzyme-Based Assays

Changyi Ren, Ren Kong, Yingguang Zhu, Weihua Zhang et al.
2 citations
ACS Omega
Computational Drug Discovery Methods
3.01
article

Identifying Natural Products as Feline Coronavirus Mpro Inhibitors by Structural-Based Virtual Screening and Enzyme-Based Assays

Changyi Ren, Ren Kong, Yingguang Zhu, Weihua Zhang, Lianhua Piao, Zunyun Jiang
article en
2 citations

Abstract

The main protease (M<sup>pro</sup>) is a pivotal target in the life cycle of feline coronavirus (FCoV), which causes a high mortality feline disease, feline infectious peritonitis (FIP). Virtual screening was performed against the feline coronavirus M<sup>pro</sup> to find active compounds with low toxicity from a library of natural products. Eighty-six compounds were selected by using the rank of docking score and binding pose analysis. In the enzyme-based assay, 12 compounds showed a more than 40% inhibitory effect on M<sup>pro</sup> at a concentration of 200 μmol/L. The IC<sub>50</sub> values of theaflavin 3,3'-digallate (25.0 μmol/L), sennoside C (25.2 μmol/L), pinocembrin-galloyl-HHDP-G (33.3 μmol/L), and thonningianin A (50.6 μmol/L) were determined. In addition, curcuminoids (51.7-64.3% under 200 μmol/L) and flavonoids (41.3-60.3% under 200 μmol/L) also exhibited certain inhibitory effects on M<sup>pro</sup>. Molecular dynamics simulations and binding free energy calculations were employed to reveal the atomic details of the binding of these compounds with M<sup>pro</sup>. The results showed that most of the compounds formed significant interactions with key residues on the catalytic site, such as His-41, Cys-144, and Glu-165. These compounds could serve as a starting point to develop FCoV M<sup>pro</sup> inhibitors with high potency.

ACS OmegaVol. 10(2)
Nanjing Agricultural University (CN), Jiangsu University of Technology (CN)
Jiangsu Agricultural Science and Technology Independent Innovation Fund, National Key Research and Development Program of China
Zero hunger
Openalex Percentile: Top 11%
Computational Drug Discovery Methods
3.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.