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
6,826
→
⚗️
Ingredient
45,885
→
🧬
Gene Target
15,695
→
🏥
Disease
30,467
→
🧪
Evidence
23,241
trials · metas · refs
Plus 6,743 TCM formulas connecting herbs together
🏥 Disease / Health Topic
Drooling
0
Clinical Trials
1
Meta-Analyses
0
PubMed References
📋 Sample Trials
None linked yet.
📊 Sample Meta-Analyses
CRD42019126789
The effectiveness of atropine for the treatment of excessive salivation
Excessive salivation or drooling or Sialorrhea.
📚 Sample References
None linked yet.
🏥 All Disease / Health Topic data fields for Drooling
🏥 Names
Disease Name
Drooling
Alias Names
Oversalivation; Excessive Salivation; Sialorrhea; Drooling; Mouth Watering; Hypersalivation; Dribbling; Watery Mouth; Excessive Production of Saliva; Ptyalism
Topic Type
phenotype
🧬 Ontology Classifications
DisGeNET Type
phenotype
UMLS Type
Finding
MeSH Class
Stomatognathic Diseases
HPO Class
Abnormality of head or neck; Abnormality of the nervous system
🔗 External References
🔍 Raw view — every non-empty column on this row (26 fields)
name
Drooling
alias name
Oversalivation; Excessive Salivation; Sialorrhea; Drooling; Mouth Watering; Hypersalivation; Dribbling; Watery Mouth; Excessive Production of Saliva; Ptyalism
topic type
phenotype
disgenet disease type
phenotype
umls disease type
Finding
mesh disease class
Stomatognathic Diseases
hpo disease class
Abnormality of head or neck; Abnormality of the nervous system
umls disease type id
T033
mesh disease class id
C07
hpo disease class id
HP:0000152; HP:0000707
herb disease id
HBDIS000823
disgenet id
C0013132
mesh id
D012798
hpo id
HP:0002307; HP:0003781
📊 Meta-Analyses
1 · systematic reviewCRD42019126789 The effectiveness of atropine for the treatment of excessive salivation
→ Excessive salivation or drooling or Sialorrhea.
How to read these connections
Each box lists records connected to the one you are viewing, and says how the connection was made. A connection shows that two records are related in the source data. It does not show that something works, is safe or should be used, and a record with many connections is not necessarily better studied or more effective.
- Study records (trials, systematic reviews, publications): the study names this subject. Registered or ongoing studies have no results here, and animal or cell research does not show an effect in people.
- Source-database links (for example herb and compound, compound and gene target): taken from the imported databases and not independently checked by us.
- Name matches (for example formula and herb, or a condition named in a study): found by matching names, so they can be wrong. Treat them as leads, not findings.