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ORIGINAL RESEARCH article

Front. Microbiol.

Sec. Virology

This article is part of the Research TopicEffective Therapeutic Strategies, Including Treatments, Vaccines, and Immunotherapies, for Combating Zoonotic Viruses and Improving Global Health OutcomesView all 7 articles

Nature's Cryptographic Codebreaker: In Silico Decoding of Apigenin's Triple Defense Against SARS-CoV-2

Provisionally accepted
  • 1Department of Laboratory Medicine, Zhengzhou Central Hospital, Zhengzhou, China
  • 2China Unicom IoT Co., Ltd, Nanjing, Nanjing, China
  • 3Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China

The final, formatted version of the article will be published soon.

The coronavirus disease 2019 (COVID-19) pandemic underscored the urgent need for broad-spectrum antiviral agents capable of targeting both viral proteins and host factors to mitigate disease severity. Apigenin has antiviral and anti-inflammatory properties. In this study, the potential role of apigenin in the treatment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the underlying mechanism were explored using matrix factorization, deep learning, multiscale molecular modeling and network pharmacology. The graph-based integrated Gaussian kernel similarity (GiGs) model predicted that apigenin might be a drug against SARS-CoV-2. The prediction of drug-target affinity using a convolution model with self-attention (CSatDTA) model revealed the potential binding affinity of apigenin with glucose-regulated protein 78 (GRP78) and heparan sulfate proteoglycan (HSPG). Molecular docking further validated strong binding to GRP78 (–8.198 kcal/mol) and moderate binding to HSPG (–5.6 kcal/mol), mediated by van der Waals forces and hydrogen bonds. Multiscale molecular modeling revealed that apigenin could bind to Non-structural protein 15 (Nsp15). Further, the network pharmacology analysis implied that apigenin might modulate the host inflammatory responses by potentially regulating the PI3K-Akt and HIF-1 signaling pathways and binding directly to protein kinase B (AKT1) and prostaglandin endoperoxide synthase 2 (PTGS2). Computational profiling suggests apigenin exerts a multi-target mechanism against SARS-CoV-2, potentially disrupting viral entry, replication, and host inflammatory responses. The findings of this research outline a promising strategy and provide a rationale for developing novel natural product-based treatment methods for SARS-CoV-2.

Keywords: Apigenin, SARS-CoV-2, Matrix Factorization, deep learning, Molecular modeling

Received: 19 Sep 2025; Accepted: 26 Nov 2025.

Copyright: © 2025 Huang, Fang, Guan and Hu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Hongya Guan
Shoukui Hu

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