Data · dataset · 2026
Exploring the Mechanism of *Cimicifugae Rhizoma* against Breast Cancer via the EGFR‑MEK‑ERK Signaling Axis Based on Network Pharmacology
Listed in ScienceDB
This data set is from the research on the mechanism of action of Cimicifuga against breast cancer.
Description
It integrates three types of data: network pharmacology prediction, molecular docking dynamics simulation, and 4T1 cell in vitro experiment. It is used to explore the molecular mechanism of Cimicifuga's intervention in breast cancer through the EGFR ‑ MEK ‑ ERK signal axis, which can provide an experimental and computational basis for mining the active ingredients of Cimicifuga. Based on TCMSP screening of active ingredients in sesame (OB ≥ 30%, DL ≥ 0.18), combined with SwissTarget Prediction to predict targets; GeneCards and OMIM acquire breast cancer targets; Venny 2.1 obtains drug disease intersection targets; STRING and Cytoscape 3.10.0 were used to construct a PPI network and screen for core targets; DAVID completes GO/KEGG enrichment.
AutoDock 4.2.6 carries out docking between active ingredients and core target molecules; Gromacs2025 completed a 100 ns molecular dynamics simulation of the coumarin-MMP9 complex, calculating parameters such as RMSD, RMSF, and MM-PBSA binding free energy. The extract of Cimicifuga was extracted with 78% ethanol, and 4T1 mouse breast cancer cells were used as the model; Using SRB method to detect cell proliferation and calculate IC ₅₀; Scratches and Transwell experiments were used to detect cell migration; Western blot was used to detect the expression of MMP9 and EGFR MEK ERK pathway proteins; Set up 3 biological replicates per group. Excel completes target sorting and deduplication; Cytoscape conducts network topology analysis; Gromacs tool analyzes simulated trajectories; ImageJ quantifies the grayscale of cell images and protein bands; GraphPad Prism was used for statistical analysis, and the results were expressed as \ (\ bar x \ pm s \)\ (P<0.05) indicates a statistically significant difference. database TCMSP、SwissTargetPrediction、UniProt、GeneCards、OMIM、STRING、DAVID、RCSB‑PDB、PubChem、Venny2.1。 Software: Cytoscape3.10.0、AutoDock4.2.6、PyMOL2.2.0、Gromacs2025、ImageJ、GraphPad Prism。 Instruments: Cell culture incubator, fluorescence inverted microscope, enzyme-linked immunosorbent assay reader, freeze centrifuge, electrophoresis and chemiluminescence imaging system, vacuum freeze dryer, etc.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.nprd.000ca ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Social Science
- Inferred from text
- Cancer 75% · Disease 75% · Image 65% · Imaging 75% · Oncology and carcinogenesis 69% · Simulation 75%
Provenance · 1 source records, 17 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.nprd.000ca | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[disease].local:disease:cancer | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[disease].local:disease:disease | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:group:3211 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (69%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:imaging | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |