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Exploring new catechin derivatives as SARS-CoV-2 Mpro inhibitors from tea by molecular networking, surface plasma resonance, enzyme inhibition, induced fit docking, and metadynamics simulations
Yang, Zi1; Wang, Wei3; Qi, Yan1; Yang, Yi1; Chen, Chen Hui1; Liu, Jia Zheng4; Chu, Gang Xiu2; Bao, Guan Hu1
2022-11-12
Source PublicationComputers in Biology and Medicine
ISSN0010-4825
Volume151
Abstract

SARS-CoV-2 M (Mpro) is the critical cysteine protease in coronavirus viral replication. Tea polyphenols are effective M inhibitors. Therefore, we aim to isolate and synthesize more novel tea polyphenols from Zhenghedabai (ZHDB) white tea methanol-water (MW) extracts that might inhibit COVID-19. Through molecular networking, 33 compounds were identified and divided into 5 clusters. Further, natural products molecular network (MN) analysis showed that MN1 has new phenylpropanoid-substituted ester-catechin (PSEC), and MN5 has the important basic compound type hydroxycinnamoylcatechins (HCCs). Thus, a new PSEC (1, PSEC636) was isolated, which can be further detected in 14 green tea samples. A series of HCCs were synthesized (2–6), including three new acetylated HCCs (3–5). Then we used surface plasmon resonance (SPR) to analyze the equilibrium dissociation constants (K) for the interaction of 12 catechins and M. The K values of PSEC636 (1), EGC-C (2), and EC-CDA (3) were 2.25, 2.81, and 2.44 μM, respectively. Moreover, compounds 1, 2, and 3 showed the potential M inhibition with IC 5.95 ± 0.17, 9.09 ± 0.22, and 23.10 ± 0.69 μM, respectively. Further, we used induced fit docking (IFD), binding pose metadynamics (BPMD), and molecular dynamics (MD) to explore the stable binding pose of M-1, showing that 1 could tightly bond with the amino acid residues THR, HIS, CYS, TYR, GLU, and ASP. The computer modeling studies reveal that the ester, acetyl, and pyrogallol groups could improve inhibitory activity. Our research suggests that these catechins are effective M inhibitors, and might be developed as therapeutics against COVID-19.

KeywordBinding Pose Metadynamics Green Tea Induced Fit Docking Molecular Dynamics Sars-cov-2 Mpro Surface Plasmon Resonance
DOI10.1016/j.compbiomed.2022.106288
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaLife Sciences & Biomedicine - Other Topics ; Computer Science ; Engineering ; Mathematical & Computational Biology
WOS SubjectBiology ; Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology
WOS IDWOS:000906929200003
PublisherPERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
Scopus ID2-s2.0-85142259080
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Citation statistics
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorChu, Gang Xiu; Bao, Guan Hu
Affiliation1.Natural Products Laboratory, State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei, Anhui, 230036, China
2.School of Information and Computer, Anhui Agricultural University, Hefei, Anhui, 230036, China
3.Anhui Engineering Laboratory for Conservation and Sustainable Utilization of Traditional Medicine Resources, West Anhui University, Lu'an, Anhui, 237012, China
4.State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Guangdong-Hong Kong-Macao Joint Laboratory of Respiratory Infectious Disease, Macau University of Science and Technology, Taipa, 999078, Macao
Recommended Citation
GB/T 7714
Yang, Zi,Wang, Wei,Qi, Yan,et al. Exploring new catechin derivatives as SARS-CoV-2 Mpro inhibitors from tea by molecular networking, surface plasma resonance, enzyme inhibition, induced fit docking, and metadynamics simulations[J]. Computers in Biology and Medicine, 2022, 151.
APA Yang, Zi., Wang, Wei., Qi, Yan., Yang, Yi., Chen, Chen Hui., Liu, Jia Zheng., Chu, Gang Xiu., & Bao, Guan Hu (2022). Exploring new catechin derivatives as SARS-CoV-2 Mpro inhibitors from tea by molecular networking, surface plasma resonance, enzyme inhibition, induced fit docking, and metadynamics simulations. Computers in Biology and Medicine, 151.
MLA Yang, Zi,et al."Exploring new catechin derivatives as SARS-CoV-2 Mpro inhibitors from tea by molecular networking, surface plasma resonance, enzyme inhibition, induced fit docking, and metadynamics simulations".Computers in Biology and Medicine 151(2022).
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