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ORIGINAL RESEARCH article

Front. Bioinform.

Sec. Network Bioinformatics

Volume 5 - 2025 | doi: 10.3389/fbinf.2025.1637479

The bacteriostatic regulation of luteolin from Honeysuckle by protein network interaction

Provisionally accepted
Jianreng  ZhangJianreng Zhang*Mujun  ChenMujun ChenDianzeng  YangDianzeng YangYanjie  JiaYanjie Jia
  • Henan Agricultural Vocational College, Zhengzhou, China

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

A comprehensive analysis of the bacteriostatic mechanism of luteolin at the molecular level was performed. Luteolin-related targets were first retrieved from the STITCH database, followed by the acquisition of protein-protein interaction (PPI) information from the STRING database. The retrieved PPI data was subsequently imported into Cytoscape software to construct a PPI network. Finally, the Molecular Complexity Detection (MCODE) algorithm and BinGo plugin were utilized to conduct module analysis and functional annotation of the constructed network, respectively. The results showed that a total of ten targets were successfully screened from the database. Based on these targets, a PPI network consisting of 91 nodes and 332 edges was constructed. Cluster analysis identified seven distinct functional modules, and subsequent module analysis further demonstrated that luteolin was primarily involved in multiple biological processes, including pathogenic bacteria resistance, antibacterial defensive responses, pathogenic fungi resistance, and resistance to both gram-negative and gram-positive bacteria. These findings indicated that luteolin exhibits robust antibacterial and antifungal activities. By investigating the inhibitory mechanism of luteolin at the molecular-network level, this study paves the way for the development of novel bacteriostatic strategies, offering a valuable perspective for related research.

Keywords: Honeysuckle, Luteolin, Target spot, Protein Interaction Network, Bacteriostasis

Received: 29 May 2025; Accepted: 24 Jul 2025.

Copyright: © 2025 Zhang, Chen, Yang and Jia. 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: Jianreng Zhang, Henan Agricultural Vocational College, Zhengzhou, China

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