Predicting the protein target of cucurbitacin e through a novel approach of protein folding shape code

Background: Traditional Chinese medicine (TCM) constitutes a complex system involving numerous chemical components that work synergistically to produce therapeutic efficacy. However, the unclear molecular targets of TCM compounds remain a significant challenge for modern research in this field. Cucurbitacin E (CuE) is a tetracyclic triterpenoid compound derived from TCM plants. Previous studies have demonstrated its ability to inhibit cancer cell proliferation and mitigate inflammatory responses. Nevertheless, the specific target of this compound remains undetermined. Methods: In this study, we employed a novel bioinformatics tool, the Protein Folding Shape Code (PFSC), to comprehensively investigate the protein target of CuE. The PFSC is designed to characterize protein three-dimensional (3D) folding shapes. Subsequently, we utilized Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) for the functional annotation and pathway analysis of the predicted targets. Moreover, the validity of these predictions was experimentally confirmed using reverse transcription quantitative polymerase chain reaction (RT-qPCR). Results: A search of the PDBeChem database identified four compounds with >80% similarity to CuE. Based on this analysis, CuE was predicted to potentially interact with the protein structures 2VDY and 3TC5. Subsequent screening yielded more than 10 high-scoring protein targets, which were implicated in processes such as inflammation, angiogenesis, and immune regulation. From this pool, eight specific targets (PIN1, PPARG, FGFR1, BRAF, JAK1, JAK3, STAT3, and IL-6) were selected for experimental validation. The results from cellular-level assays indicated that CuE could regulate the gene expression levels of these selected targets. Conclusion: The findings of this study demonstrate that PFSC is a highly effective methodology for analyzing protein 3D structures and is well-suited for identifying the multiple targets of TCM compounds.

Authors

Institutions

Publication Details

Journal
Guidelines and Standards of Chinese Medicine
Published
2026-02-03
DOI
https://doi.org/10.1097/gscm.0000000000000086
Primary Topic
Advances in Cucurbitaceae Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting the protein target of cucurbitacin e through a novel approach of protein folding shape code

Xinluan Wang, Xiangbo Meng, Jiaan Yang, Guoyuan Zhu et al.
Guidelines and Standards of Chinese Medicine
Advances in Cucurbitaceae Research
article

Predicting the protein target of cucurbitacin e through a novel approach of protein folding shape code

Xinluan Wang, Xiangbo Meng, Jiaan Yang, Guoyuan Zhu, Xun Gong, Liqing Ke, Ying Wang, Yuchen Yang, Peng Zhang
article en

Abstract

Background: Traditional Chinese medicine (TCM) constitutes a complex system involving numerous chemical components that work synergistically to produce therapeutic efficacy. However, the unclear molecular targets of TCM compounds remain a significant challenge for modern research in this field. Cucurbitacin E (CuE) is a tetracyclic triterpenoid compound derived from TCM plants. Previous studies have demonstrated its ability to inhibit cancer cell proliferation and mitigate inflammatory responses. Nevertheless, the specific target of this compound remains undetermined. Methods: In this study, we employed a novel bioinformatics tool, the Protein Folding Shape Code (PFSC), to comprehensively investigate the protein target of CuE. The PFSC is designed to characterize protein three-dimensional (3D) folding shapes. Subsequently, we utilized Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) for the functional annotation and pathway analysis of the predicted targets. Moreover, the validity of these predictions was experimentally confirmed using reverse transcription quantitative polymerase chain reaction (RT-qPCR). Results: A search of the PDBeChem database identified four compounds with >80% similarity to CuE. Based on this analysis, CuE was predicted to potentially interact with the protein structures 2VDY and 3TC5. Subsequent screening yielded more than 10 high-scoring protein targets, which were implicated in processes such as inflammation, angiogenesis, and immune regulation. From this pool, eight specific targets (PIN1, PPARG, FGFR1, BRAF, JAK1, JAK3, STAT3, and IL-6) were selected for experimental validation. The results from cellular-level assays indicated that CuE could regulate the gene expression levels of these selected targets. Conclusion: The findings of this study demonstrate that PFSC is a highly effective methodology for analyzing protein 3D structures and is well-suited for identifying the multiple targets of TCM compounds.

Guidelines and Standards of Chinese Medicine
Macau University of Science and Technology (MO), Sun Yat-sen University (CN), Chinese Academy of Sciences (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Shenzhen Institutes of Advanced Technology (CN), Guang’anmen Hospital (CN), Sun Yat-sen University Cancer Center (CN), Shenzhen Technology University (CN), Viva Biotech (China) (CN)
Openalex Percentile: Top 62%
Advances in Cucurbitaceae Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.