Motivation An unsolved fundamental problem in biology is to predict phenotypes from a new
genotype under environmental perturbations. The emergence of multiple omics data …

Insulin resistance (IR) contributes to the pathophysiology of diabetes, dementia, viral
infection, and cardiovascular disease. Drug repurposing (DR) may identify treatments for IR; …

Drug combination therapies can improve drug efficacy, reduce drug dosage, and overcome
drug resistance in cancer treatments. Current research strategies to determine which drug …

Cancer cells depend on multiple driver alterations whose oncogenic effects can be
suppressed by drug combinations. Here, we provide a comprehensive resource of precision …

Drugs used in combination can synergize to increase efficacy, decrease toxicity, and prevent
drug resistance. While conventional high-throughput screens that rely on univariate data are …

Background To reduce drug side effects and enhance their therapeutic effect compared with
single drugs, drug combination research, combining two or more drugs, is highly important …

For large libraries of small molecules, exhaustive combinatorial chemical screens become
infeasible to perform when considering a range of disease models, assay conditions, and …

Tumour heterogeneity is one of the main characteristics of cancer and can be categorised
into inter‐or intratumour heterogeneity. This heterogeneity has been revealed as one of the …

The role of computational tools in the drug discovery and development process is becoming
central, thanks to the possibility to analyze large amounts of data. The high throughput and …

Drugs not only perturb their immediate protein targets but also modulate multiple signaling
pathways. In this study, we explored networks modulated by several drugs across multiple …