Computational Prediction of Ginsenosides Targeting ADGRG3/GPR97 in Cancer and Immune Pathways: A Multi-Faceted In Silico Approach

Ginsenosides are bioactive secondary metabolites in ginseng, which have gained popularity for their usage in traditional Oriental medicine. Many studies have reported that ginsenosides exert their effects through multiple pathways, such as GPCR-related pathways. However, focusing on their specific interactions with ADGRG3 (GPR97) can provide possible insights to inform targeted intervention strategies in oncology and immunotherapy through the tumor–immune microenvironment interactions. Thus, this study employed an integrative in silico computational strategy to investigate ginsenosides as possible targets of ADGRG3. First, gene expression was analyzed using multiple databases such as TCGA, cBioPortal, and TIMER, revealing the differential expression of ADGRG3 across cancers, with notable overexpression in leukemia. Then, the virtual screening of 128 ginsenosides identified five top candidates (Rg3, Rk3, F5, Rg7, and F1) that showed strong binding energy (−10.7 −10.6, −10.5, −10.4, and −10.3 kcal/mol, respectively) with ADGRG3, as determined through in silico molecular docking (MD). Computational approaches such as molecular dynamics simulations (MDSs), free binding energy calculations (MM-PBSA), and ADMET profiling confirmed the stability of these complexes’ favorable ADMET predictions, respectively, which warrants further experimental validation through in vitro and in vivo pharmacokinetic studies. Finally, the computational protein–protein interaction and pathway enrichment analyses of ADGRG3 demonstrated immune-related pathways, such as neutrophil degranulation and GPCR signaling, emphasizing its role in cancer progression and immune modulation. These computational findings predict ADGRG3 as a viable target for cancer and immune pathways and ginsenosides as natural ligands. Further in vitro and in vivo preclinical and clinical studies are warranted to validate the interactions of ADGRG3 with ginsenosides.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-04-14
DOI
https://doi.org/10.3390/app15084332
Citations
2
Primary Topic
Ginseng Biological Effects and Applications
Type
article
Field-Weighted Citation Impact
1.61

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computational Prediction of Ginsenosides Targeting ADGRG3/GPR97 in Cancer and Immune Pathways: A Multi-Faceted In Silico Approach

Jing Lu
2 citations
Applied Sciences
Ginseng Biological Effects and Applications
1.61
article

Computational Prediction of Ginsenosides Targeting ADGRG3/GPR97 in Cancer and Immune Pathways: A Multi-Faceted In Silico Approach

Jing Lu
article en
2 citations

Abstract

Ginsenosides are bioactive secondary metabolites in ginseng, which have gained popularity for their usage in traditional Oriental medicine. Many studies have reported that ginsenosides exert their effects through multiple pathways, such as GPCR-related pathways. However, focusing on their specific interactions with ADGRG3 (GPR97) can provide possible insights to inform targeted intervention strategies in oncology and immunotherapy through the tumor–immune microenvironment interactions. Thus, this study employed an integrative in silico computational strategy to investigate ginsenosides as possible targets of ADGRG3. First, gene expression was analyzed using multiple databases such as TCGA, cBioPortal, and TIMER, revealing the differential expression of ADGRG3 across cancers, with notable overexpression in leukemia. Then, the virtual screening of 128 ginsenosides identified five top candidates (Rg3, Rk3, F5, Rg7, and F1) that showed strong binding energy (−10.7 −10.6, −10.5, −10.4, and −10.3 kcal/mol, respectively) with ADGRG3, as determined through in silico molecular docking (MD). Computational approaches such as molecular dynamics simulations (MDSs), free binding energy calculations (MM-PBSA), and ADMET profiling confirmed the stability of these complexes’ favorable ADMET predictions, respectively, which warrants further experimental validation through in vitro and in vivo pharmacokinetic studies. Finally, the computational protein–protein interaction and pathway enrichment analyses of ADGRG3 demonstrated immune-related pathways, such as neutrophil degranulation and GPCR signaling, emphasizing its role in cancer progression and immune modulation. These computational findings predict ADGRG3 as a viable target for cancer and immune pathways and ginsenosides as natural ligands. Further in vitro and in vivo preclinical and clinical studies are warranted to validate the interactions of ADGRG3 with ginsenosides.

Applied SciencesVol. 15(8)
Seokyeong University (KR)
Seokyeong University
Openalex Percentile: Top 18%
Ginseng Biological Effects and Applications
1.61
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.

Computational Prediction of Ginsenosides Targeting ADGRG3/GPR97 in Cancer and Immune Pathways: A Multi-Faceted In Silico Approach — Jing Lu · Applied Sciences (2025) | TGRS Research Map | TGRS