Identification of potential human targets for epigallocatechin gallate through a novel protein binding site screening approach

Hirci, Jernej (author), Škufca, Sandra (author), Kunej, Tanja (author), Janežič, Dušanka (author), Konc, Janez (author)

Context Epigallocatechin-3-gallate (EGCG), a compound found in green tea, is known for its anticancer properties, although its specific protein targets remain largely undefined. In this study, we identified EGCG targets across the human proteome using a novel protein binding site screening approach. Among the 20 most likely predicted targets, six proteins—KRAS, FXa, MMP1, PLA2G2A, Hb, and CDK2—had been experimentally validated in previous studies. Fourteen additional proteins, including five kinases, were newly predicted as potential targets, all of which are implicated in cancer development and may mediate EGCG’s anticancer effects. Enrichment analysis revealed KEGG pathways associated with cancer, with KRAS and PIM1 appearing as key nodes. These findings, which align with previous experimental research, offer new insights into the molecular mechanisms of EGCG and its potential role in modulating cancer-related pathways. Methods An approach was devised to screen EGCG with 36,532 human protein binding sites using the ProBiS-Dock algorithm and the ProBiS-Dock database. Network and enrichment analyses with Cytoscape and StringApp identified protein interactions and KEGG pathways, revealing potential anticancer mechanisms of EGCG.

• Language: English
• Keywords: epigallocatechin-3-gallate, ProBiS-Dock algorithm, ProBiS-Dock database, inverse molecular docking, target protein prediction
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: BF - Biotechnical Faculty; FFA - Faculty of Pharmacy
• Publication status: Published
• Publication version: Version of Record
• Year: 2025
• Number of pages: 12 str.
• Numbering: Vol. 31, iss. 7, art. 189
• PID: 20.500.12556/RUL-169968
• UDC: 577
• ISSN on article: 0948-5023
• DOI: 10.1007/s00894-025-06410-y
• COBISS.SI-ID: 239493635
• Publication date in RUL: 27.06.2025

Record is a part of a journal

• Title: Journal of molecular modeling
• Publisher: Springer Nature
• ISSN: 0948-5023
• COBISS.SI-ID: 2506772

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

• Language: Slovenian
• Keywords: biokemija, rak, epigalokatehin galat