Proceedings for Annual Meeting of The Japanese Pharmacological Society
Online ISSN : 2435-4953
The 96th Annual Meeting of the Japanese Pharmacological Society
Session ID : 96_2-B-P-176
Conference information

Poster Sessions
Antiviral activity of curcumin and its analogs selected by artificial intelligence-supported activity prediction system in SARS-CoV-2-infected VeroE6 cells
Hirotsugu KomatsuTakeshi TanakaZhengmao YeKen IkedaTakao MatsuzakiTamotsu ShiromaMasato HosodaMayo Yasugi*Koji Teshima
Author information
CONFERENCE PROCEEDINGS OPEN ACCESS

Details
Abstract

Curcumin has been reported to exert its anti-SARS-CoV-2 activity through multiple mechanisms including inhibition of spike receptor-binding domain (RBD) to angiotensin-converting enzyme-2 (ACE2) binding. To identify more potent compounds, we tested curcumin and its analogs for spike RBD-ACE2 binding inhibitory activity and antiviral activity in SARS-CoV-2-infected cells. An artificial intelligence (AI) -supported activity prediction system was used to select the compounds, and 116 compounds with a docking score range of -8.7 to -4.3 kcal/mol were selected from 334 curcumin analogs. These compounds were narrowed down to 10 compounds, including curcumin, for confirmatory studies. These 10 compounds showed a significant correlation (rs=0.685, P=0.029) between the IC20 values of spike-RBD-ACE2 binding inhibitory activity and EC50 values of antiviral activity, indicating that the antiviral activity was mediated by spike RBD-ACE2 binding inhibition. Based on the assumption that the binding site of curcumin and its analogs is different from that of anti-spike RBD antibody drugs, it is expected that these compounds through pharmaceutical or pharmacokinetic modification, or the development of more potent derivatives would contribute to supplementing the antiviral activity of antibodies against SARS-CoV-2.

Content from these authors
© 2022 The Authors(s)
Previous article Next article
feedback
Top