Computational drug repositioning or repurposing is a promising and efficient tool for
discovering new uses from existing drugs and holds the great potential for precision …

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 …

Experimental drug development is time-consuming, expensive and limited to a relatively
small number of targets. However, recent studies show that repositioning of existing drugs …

The strategy of using existing drugs originally developed for one disease to treat other
indications has found success across medical fields. Such drug repurposing promises faster …

Highlights•A bibliometric review of drug repurposing provides novel insights into the
practice.•Some drugs have been tried in hundreds of diseases.•Even an old drug like …

Background In the era of information overload, natural language processing (NLP)
techniques are increasingly needed to support advanced biomedical information …

Due to the huge amount of biological and medical data available today, along with well-
established machine learning algorithms, the design of largely automated drug development …

Traditionally, drug discovery utilises a de novo design approach, which requires high cost
and many years of drug development before it reaches the market. Novel drug development …

The recent years have witnessed a rapid increase in the number of scientific articles in
biomedical domain. These literature are mostly available and readily accessible in …

Objectives Drug repurposing, which finds new indications for existing drugs, has received
great attention recently. The goal of our work is to assess the feasibility of using electronic …