Artificial intelligence (AI), and, in particular, deep learning as a subcategory of AI, provides
opportunities for the discovery and development of innovative drugs. Various machine …

Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, developing drugs for central nervous system (CNS) disorders remains the most …

The identification of interactions between drugs/compounds and their targets is crucial for
the development of new drugs. In vitro screening experiments (ie bioassays) are frequently …

Abstract Traditional Chinese Medicine (TCM), with a history of thousands of years of clinical
practice, is gaining more and more attention and application worldwide. And TCM-based …

Although sciences and technology have progressed rapidly, de novo drug development has
been a costly and time-consuming process over the past decades. In view of these …

Background The treatment of complex diseases by taking multiple drugs becomes
increasingly popular. However, drug-drug interactions (DDIs) may give rise to the risk of …

Efforts to maximize the indications potential and revenue from drugs that are already
marketed are largely motivated by what Sir James Black, a Nobel Prize-winning …

Drugs can produce intended therapeutic effects to treat different diseases. However, they
may also cause side effects at the same time. For an approved drug, it is best to detect all …

Background: The Anatomical Therapeutic Chemicals (ATC) classification system is a widely
accepted drug classification system. It classifies drugs according to the organ or system in …

Motivation The anatomical therapeutic chemical (ATC) classification system plays an
increasingly important role in drug repositioning and discovery. The correct identification of …