Drugs designed to act against individual molecular targets cannot usually combat multigenic
diseases such as cancer, or diseases that affect multiple tissues or cell types such as …

The systematic translation of cancer genomic data into knowledge of tumour biology and
therapeutic possibilities remains challenging. Such efforts should be greatly aided by robust …

DNA microarrays can be used to identify gene expression changes characteristic of human
disease. This is challenging, however, when relevant differences are subtle at the level of …

Predicting the behavior of living organisms is an enormous challenge given their vast
complexity. Efforts to model biological systems require large datasets generated by physical …

Large panels of comprehensively characterized human cancer models, including the Cancer
Cell Line Encyclopedia (CCLE), have provided a rigorous framework with which to study …

Profiling candidate therapeutics with limited cancer models during preclinical development
hinders predictions of clinical efficacy and identifying factors that underlie heterogeneous …

The authors present a method of time-series spectral analysis which is especially useful for
unequally spaced data. Based on a complex, one-dimensional version of the CLEAN …

Drug combinations are a promising strategy to overcome the compensatory mechanisms
and unwanted off-target effects that limit the utility of many potential drugs. However, …

Multicomponent therapies, originating through deliberate mixing of drugs in a clinical setting,
through happenstance, and through rational design, have a successful history in a number …

Activation of the phosphoinositide 3-kinase (PI3K) pathway occurs frequently in breast
cancer. However, clinical results of single-agent PI3K inhibitors have been modest to date. A …