Deep Learning (DL) has recently enabled unprecedented advances in one of the grand
challenges in computational biology: the half-century-old problem of protein structure …

Many drugs, or their antecedents, were discovered through observation of their effects on
normal or disease physiology. For the past generation, this phenotypic drug discovery …

Organotypic models of patient-specific tumours are revolutionizing our understanding of
cancer heterogeneity and its implications for personalized medicine. These advancements …

In contrast to normal type I collagen (Col1) heterotrimer (α1/α2/α1) produced by fibroblasts,
pancreatic cancer cells specifically produce unique Col1 homotrimer (α1/α1/α1). Col1 …

Develo** novel targeted anticancer therapies is a major goal of current research. The use
of poly (ADP-ribose) polymerase (PARP) inhibitors in patients with homologous …

Artificial intelligence (AI) is rapidly resha** cancer research and personalized clinical
care. Availability of high-dimensionality datasets coupled with advances in high …

Small cell lung cancer (SCLC) is an aggressive malignancy that includes subtypes defined
by differential expression of ASCL1, NEUROD1, and POU2F3 (SCLC-A,-N, and-P …

Metabolic reprogramming is a hallmark of cancer. However, systematic characterizations of
metabolites in triple-negative breast cancer (TNBC) are still lacking. Our study profiled the …

To explore the biology of lung adenocarcinoma (LUAD) and identify new therapeutic
opportunities, we performed comprehensive proteogenomic characterization of 110 tumors …

To study complex biological processes holistically, it is imperative to take an integrative
approach that combines multi-omics data to highlight the interrelationships of the involved …