Despite considerable progress in genome-and proteome-based high-throughput screening
methods and in rational drug design, the increase in approved drugs in the past decade did …

Network-based computational biology, with the emphasis on biomolecular interactions and
omics-data integration, has had success in drug development and created new directions …

Hepatocellular carcinoma (HCC) is a significant health problem worldwide with poor
prognosis. Drug repositioning represents a profitable strategy to accelerate drug discovery …

Drugs with similar side-effect profiles may share similar therapeutic properties through
related mechanisms of action. In this study, a drug-drug network was constructed based on …

Inferring drug-disease associations is critical in unveiling disease mechanisms, as well as
discovering novel functions of available drugs, or drug repositioning. Previous work is …

Low drug productivity has been a significant problem of the pharmaceutical industry for
several decades even though numerous novel technologies were introduced during this …

Mining potential drug‐disease associations can speed up drug repositioning for
pharmaceutical companies. Previous computational strategies focused on prior biological …

Background During the last few years, the knowledge of drug, disease phenotype and
protein has been rapidly accumulated and more and more scientists have been drawn the …

Computational drug repositioning leverages computational technology and high volume of
biomedical data to identify new indications for existing drugs. Since it does not require costly …

Aims Alzheimer's disease (AD) is one of the leading causes of death in elderly people. Its
pathogenesis is greatly associated with the abnormality of immune system. However, only a …