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.

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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

Portal Hypertension, Noncirrhotic

Open on HERB 2.0 ↗

Clinical Trials

Meta-Analyses

PubMed References

🏥 All Disease / Health Topic data fields for Portal Hypertension, Noncirrhotic

🏥 Names

Disease Name

Portal Hypertension, Noncirrhotic

Alias Names

Portal Hypertension, Noncirrhotic

Topic Type

syndrome

🧬 Ontology Classifications

DisGeNET Type

disease

UMLS Type

Disease or Syndrome

🔗 External References

HERB DB

HBDIS026300 ↗

OMIM

617068 ↗

DisGeNET

C4310735

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

name

Portal Hypertension, Noncirrhotic

alias name

Portal Hypertension, Noncirrhotic

topic type

syndrome

disgenet disease type

disease

umls disease type

Disease or Syndrome

umls disease type id

T047

herb disease id

HBDIS026300

disgenet id

C4310735

omim id

617068

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