Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …

Introduction: Although prostate cancer constitutes one of the most important, death-related
diseases in the male population, there is still a need for identification of sensitive biomarkers …

Background Gene annotation in eukaryotes is a non-trivial task that requires meticulous
analysis of accumulated transcript data. Challenges include transcriptionally active regions …

In this article, a series of novel quinoline derivatives of ursolic acid (UA) bearing hydrazide,
oxadiazole, or thiadiazole moieties were designed, synthesised, and screened for their in …

Presently, many studies have focused on exploring in silico approaches in the identification
and development of alternative therapy for the treatment and management of cancer. Solute …

In recent decades, there have been several models describing the relationships between
the cytoskeleton and the bioenergetic function of the cell. The main player in these models is …

Background P4 medicine (predict, prevent, personalize, and participate) is a new approach
to diagnosing and predicting diseases on a patient-by-patient basis. For the prevention and …

Ovarian cancer is one of the most common cancer types in women characterized by a high
mortality rate due to lack of early diagnosis. Circulating miRNAs besides being important …

Background Tumor cell-monocyte interactions play crucial roles in shaping up the pro-
tumorigenic phenotype and functional output of tumor-associated macrophages. Within the …

Motivation Protein–protein interaction datasets, which can be modeled as networks,
constitute an essential layer in multi-omics approach to biomedical knowledge. This …