Inferring potential drug indications, for either novel or approved drugs, is a key step in drug
development. Previous computational methods in this domain have focused on either drug …

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2019
has triggered an ongoing global pandemic of the severe pneumonia-like disease …

Immune checkpoint blockade (ICB) therapy provides remarkable clinical gains and has
been very successful in treatment of melanoma. However, only a subset of patients with …

The interest in studying metabolic alterations in cancer and their potential role as novel targets
for therapy has been rejuvenated in recent years. Here, we report the development of the …

Direct in vivo investigation of mammalian metabolism is complicated by the distinct
metabolic functions of different tissues. We present a computational method that successfully …

A large number of computational models of information processing in the basal ganglia
have been developed in recent years. Prominent in these are actor–critic models of basal …

Synthetic lethality occurs when the inhibition of two genes is lethal while the inhibition of
each single gene is not. It can be harnessed to selectively treat cancer by identifying inactive …

L-Glutamine (Gln) functions physiologically to balance the carbon and nitrogen requirements
of tissues. It has been proposed that in cancer cells undergoing aerobic glycolysis, …

Cancer cells have fundamentally altered cellular metabolism that is associated with their
tumorigenicity and malignancy. In addition to the widely studied Warburg effect, several new …

Current efforts in precision oncology largely focus on the benefit of genomics-guided therapy.
Yet, advances in sequencing techniques provide an unprecedented view of the complex …