110 Millions +

Predictable Compounds

300 Thousands +

Drug-ADR Relationships

80 Thousands +

Drug-ATC Relationships

What useful information can users get?

Direct search predicted and manually verified action phenotypes of approved drugs.

Predict action phenotypes of about 110,000,000 compounds online.

Exploring potential mechanism of action phenotypes of approved drugs based on target domains.

Exploring potential mechanism of action phenotypes of compounds based on target domains online.

Discovering phenotype-corresponding substructure information of approved drugs.

Discovering phenotype-corresponding substructure information of compounds online.

Our Advantages

Innovative Algorithm

The original algorithm for predicting drug action phenotypes was embedded, which is based on the local active structure and can also provide the local active structure of serious adverse reactions for drug structure optimization. (See citation for details).

Broad Applicability

The original prediction algorithm was generalized to almost all compounds currently recorded in the PubChem database (about 110,000,000 in total), which covers 99.8% (168360/168756) of the currently discovered natural products.

High Accuracy

The original prediction algorithm has excellent prediction performance. The statistical cross-validation AUCs were all above 0.8. In addition, the predicted results also had a high literature hit rate. (See citation for details)