Welcome!

This app was created to provide simple, non-programmatic access to explore and perform calculations with data from high-throughput cancer drug screens performed in cancer cell lines. 

If you are interested in checking out a specific drugs across a number of tested cancer cell lines (or vice versa!), you might find this app very helpful! 

App author: Dr. Alex Ling 

It has been difficult to generate clinically meaningful predictions of combination therapies based on synergy to target heterogeneous cancers.
However, based on the principles of Independent Drug Action , we are able to explain combination efficacies and utilize high-throughput drug screens to quickly predict efficacious drug combos without drug synergy!
If you are searching for combination therapies, you do not want to miss this tool. Learn more about our theory and validation studies here. 

App authors: Yunong Xia and Dr. Alex Ling

(Currently under construction)
Tumor heterogeneity has been causally linked to therapy resistance and treatment failure. To combat this issue, we developed the single-cell integration and drug response computation (scIDUC) framework to infer individual-cell level vulnerabilities to various drugs.  This approach enables cell-type aware drug discovery to potentially target heterogeneous tumors. 
If you have a scRNA-seq dataset and are curious what drugs might be used to target specific cell group, go ahead and try scIDUC!

App author: Weijie Zhang