Given the high attrition rates, substantial costs and slow pace of new drug discovery and
development, repurposing of'old'drugs to treat both common and rare diseases is …

Deep learning describes a class of machine learning algorithms that are capable of
combining raw inputs into layers of intermediate features. These algorithms have recently …

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 …

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

The task of predicting the interactions between drugs and targets plays a key role in the
process of drug discovery. There is a need to develop novel and efficient prediction …

Drug repurposing (DR)(also known as drug repositioning) is a process of identifying new
therapeutic use (s) for old/existing/available drugs. It is an effective strategy in discovering or …

Abstract Machine Learning is quickly becoming an impending game changer for
transforming big data thrust from the bioprocessing industry into actionable output. However …