The understanding of a therapeutic compound's mechanism of action (MoA) can provide
great benefits to the drug discovery process. Biological and chemical information eg …

Cystic Fibrosis (CF) is the most frequent life-limiting autosomal disease in the Caucasian
population. It is caused by mutations in the gene coding the Cystic Fibrosis Transmembrane …

Abstract Pancreatic Ductal Adenocarcinoma (PDAC) is the deadliest cancer worldwide. Late
diagnosis and a complex biology make this a difficult-to-treat disease. PDAC displays …

In recent years, network-based methods have become an attractive analytical approach for
toxicogenomics studies. They can capture not only the global changes of regulatory gene …

Intra-cellular signalling determines how cells process information. Through the integration of
diverse chemical and physical stimuli, cells can enact transcription, among other changes to …

The development of reliable, prognostically informative molecular tests to direct targeted
cancer therapy is a major challenge. In 2019, the PI3Kα inhibitor alpelisib was approved for …

Genome-wide transcriptome profiling identifies genes that are prone to differential
expression across contexts (“common DEGs”), as well as genes with changes specific to the …

Analysis of the understudied parts of the phospho- signalome using machine learning methods
Page 1 Analysis of the understudied parts of the phosphosignalome using machine learning …

Colorectal cancer (CRC) is a multifaceted and heterogeneous disease. The molecular
profiling of CRC has made it possible to detect tumours with unique biological features …

Biomedical research models try to leverage useful insights for the sake of human health.
Such models emerge from data, and, in recent years, the advent of omics technologies has …