Relationship Graph Explorer

Follow the connections

Every herb, ingredient, formula, gene target, and disease — connected through real research. Search, pick a subject, and navigate the graph in any direction.

🌿

Herb

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🧪

Evidence

23,295

trials · metas · refs

Plus 6,743 TCM formulas connecting herbs together

Subject Type: 🌿 Herbs ⚗️ Ingredients 📜 Formulas 🧬 Targets 🏥 Diseases

Quick picks: Abetalipoproteinemia Abortion, Habitual Agenesis Acanthamoeba Keratitis Acanthosis Nigricans Achondrogenesis Achondroplasia Acne Vulgaris Acne Keloid Apert Syndrome

🏥 Disease / Health Topic

Stage, Cervical Cancer

Open on HERB 2.0 ↗

Clinical Trials

Meta-Analyses

PubMed References

🏥 All Disease / Health Topic data fields for Stage, Cervical Cancer

🏥 Names

Disease Name

Stage, Cervical Cancer

Topic Type

phenotype

🧬 Ontology Classifications

DisGeNET Type

phenotype

UMLS Type

Neoplastic Process

MeSH Class

Female Urogenital Diseases and Pregnancy Complications; Neoplasms

🔗 External References

HERB DB

HBDIS007162 ↗

DisGeNET

C0280232

🔍 Raw view — every non-empty column on this row (21 fields)

name

Stage, Cervical Cancer

topic type

phenotype

disgenet disease type

phenotype

umls disease type

Neoplastic Process

mesh disease class

Female Urogenital Diseases and Pregnancy Complications; Neoplasms

umls disease type id

T191

mesh disease class id

C04; C13

herb disease id

HBDIS007162

disgenet id

C0280232

No relationships found yet for this entity. Try picking one of the top-researched items above.

How relationships are computed

Clinical Trials / Meta-Analyses / References: direct foreign-key link via subject_entity_id (Phase 2d wireup)
Formula ↔ Herbs: text bridge via formulas.herbs_in_pinyin matching herbs.pinyin_name
Herb ↔ Ingredient: empty — needs HERB_herb_ingredient import
Ingredient ↔ Target: empty — needs HERB_ingredient_target import
Target ↔ Disease: empty — needs HERB_target_disease import
Herb → Target → Disease (full chemical spine): awaiting Phase 2e link tables