Discovery of Galloyl–Flavonoid Conjugates as SARS-CoV-2 3CLpro Inhibitors: Understanding Binding Interactions Through Computational Approaches

The emergence of SARS-CoV-2 in 2019 posed significant global public health challenges. One of the most promising targets for novel antiviral drug development is the SARS-CoV-2 main protease (3CL<sup>pro</sup>). In this study, fragment molecular orbital (FMO) calculations were conducted to provide guidance for the structural modification of natural flavonoids, identifying the pyrogallol moiety as a key candidate. Natural flavonoids were chemically modified to generate 33 semi-synthetic derivatives through the introduction of various functional groups. Our findings revealed that the incorporation of a galloyl moiety significantly enhances anti-proteolytic activity against SARS-CoV-2 3CL<sup>pro</sup>, achieving up to a 23-fold increase compared to the activity of the parent compounds. Notably, 7-<i>O</i>-galloyl-DMC (<b>40</b>) exhibited the highest anti-proteolytic activity in an enzymatic assay. Additionally, molecular dynamics simulations provided atomic-level insights into the interactions between the galloyl moiety and 3CL<sup>pro</sup>. All galloylated flavonoid derivatives positioned their galloyl groups within the S1' sub-pocket, facilitating hydrogen bonding and π-interactions, particularly with Thr26 and Leu27. These findings underscore the potential of the galloyl moiety as a crucial structural element for enhancing the binding affinity of flavonoids with inhibitory activity against SARS-CoV-2 3CL<sup>pro</sup>.

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Journal
International Journal of Molecular Sciences
Published
2025-10-07
DOI
https://doi.org/10.3390/ijms26199742
Primary Topic
Computational Drug Discovery Methods
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article
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article

Discovery of Galloyl–Flavonoid Conjugates as SARS-CoV-2 3CLpro Inhibitors: Understanding Binding Interactions Through Computational Approaches

Nopawit Khamto, Puttinan Meepowpan, Panchika Prangkio, Kritsada Pruksaphon et al.
International Journal of Molecular Sciences
Computational Drug Discovery Methods
article

Discovery of Galloyl–Flavonoid Conjugates as SARS-CoV-2 3CLpro Inhibitors: Understanding Binding Interactions Through Computational Approaches

Nopawit Khamto, Puttinan Meepowpan, Panchika Prangkio, Kritsada Pruksaphon, Suwicha Patnin, Nuttee Suree, Vachira Choommongkol, Panida Boontawee
article en

Abstract

The emergence of SARS-CoV-2 in 2019 posed significant global public health challenges. One of the most promising targets for novel antiviral drug development is the SARS-CoV-2 main protease (3CL<sup>pro</sup>). In this study, fragment molecular orbital (FMO) calculations were conducted to provide guidance for the structural modification of natural flavonoids, identifying the pyrogallol moiety as a key candidate. Natural flavonoids were chemically modified to generate 33 semi-synthetic derivatives through the introduction of various functional groups. Our findings revealed that the incorporation of a galloyl moiety significantly enhances anti-proteolytic activity against SARS-CoV-2 3CL<sup>pro</sup>, achieving up to a 23-fold increase compared to the activity of the parent compounds. Notably, 7-<i>O</i>-galloyl-DMC (<b>40</b>) exhibited the highest anti-proteolytic activity in an enzymatic assay. Additionally, molecular dynamics simulations provided atomic-level insights into the interactions between the galloyl moiety and 3CL<sup>pro</sup>. All galloylated flavonoid derivatives positioned their galloyl groups within the S1' sub-pocket, facilitating hydrogen bonding and π-interactions, particularly with Thr26 and Leu27. These findings underscore the potential of the galloyl moiety as a crucial structural element for enhancing the binding affinity of flavonoids with inhibitory activity against SARS-CoV-2 3CL<sup>pro</sup>.

International Journal of Molecular SciencesVol. 26(19)
Maejo University (TH), Chulabhorn Research Institute (TH), Chiang Mai University (TH), Naresuan University (TH), Walailak University (TH)
Openalex Percentile: Top 71%
Computational Drug Discovery Methods
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