Ever present hurdles for the discovery of new drugs for cancer therapy have necessitated
the development of the alternative strategy of drug repurposing, the development of old …

Highlights•A variety of computational methods and tools are used in QSP and QST. They
show different degrees of maturity.•PBPK models are well established and applied in a wide …

Recent cancer pharmacogenomic studies profiled large panels of cell lines against
hundreds of approved drugs and experimental chemical compounds. The overarching goal …

Statins, a family of FDA-approved cholesterol-lowering drugs that inhibit the rate-limiting
enzyme of the mevalonate metabolic pathway, have demonstrated anticancer activity …

TTK protein kinase (TTK), also known as Monopolar spindle 1 (MPS1), is a key regulator of
the spindle assembly checkpoint (SAC), which functions to maintain genomic integrity. TTK …

Background Querying drug-induced gene expression profiles with machine learning method
is an effective way for revealing drug mechanism of actions (MOAs), which is strongly …

Drug-combination data portals have recently been introduced to mine huge amounts of
pharmacological data with the aim of improving current chemotherapy strategies. However …

Transcriptional perturbation signatures are valuable data sources for functional genomics.
Linking perturbation signatures to screenings opens the possibility to model cellular …

Gastrointestinal (GI) cancers comprise a significant number of cancer cases worldwide and
contribute to a high percentage of cancer-related deaths. To improve survival rates of GI …

Background Triple-negative breast cancer (TNBC) represents a heterogeneous group of ER-
and HER2-negative tumors with poor clinical outcome. We recently reported that Pten-loss …