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 …

Recently, using artificial intelligence (AI) in drug discovery has received much attention
since it significantly shortens the time and cost of developing new drugs. Deep learning (DL) …

Implementing precision medicine hinges on the integration of omics data, such as
proteomics, into the clinical decision-making process, but the quantity and diversity of …

Lung squamous cell carcinoma (LSCC) remains a leading cause of cancer death with few
therapeutic options. We characterized the proteogenomic landscape of LSCC, providing a …

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

Human coronaviruses (HCoVs), including severe acute respiratory syndrome coronavirus
(SARS-CoV) and 2019 novel coronavirus (2019-nCoV, also known as SARS-CoV-2), lead …

The gold drugs, gold sodium thiomalate (Myocrisin), aurothioglucose (Solganal), and the
orally administered auranofin (Ridaura), are utilized in modern medicine for the treatment of …

Big data in health care is a fast-growing field and a new paradigm that is transforming case-
based studies to large-scale, data-driven research. As big data is dependent on the …

Rho GTPases are a family of small G proteins that regulate a wide array of cellular
processes related to their key roles controlling the cytoskeleton. Cancer is a multistep …

Drug repositioning is the process of identifying novel therapeutic potentials for existing drugs
and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an …