This review provides the feasible literature on drug discovery through ML tools and
techniques that are enforced in every phase of drug development to accelerate the research …

The discovery and advances of medicines may be considered as the ultimate relevant
translational science effort that adds to human invulnerability and happiness. But advancing …

Therapeutics machine learning is an emerging field with incredible opportunities for
innovatiaon and impact. However, advancement in this field requires formulation of …

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 …

Although there has been considerable progress in molecular property prediction in
computer-aided drug design, there is a critical need to have fast and accurate models. Many …

Thanks to the fast improvement of the computing power and the rapid development of the
computational chemistry and biology, the computer-aided drug design techniques have …

Introduction: Although significant progress has been made in high-throughput screening of
absorption, distribution, metabolism and excretion, and toxicity (ADME-Tox) properties in …

The advancement of computing and technology has invaded all the dimensions of science.
Artificial intelligence (AI) is one core branch of Computer Science, which has percolated to …

In recent decades, artificial intelligence and machine learning have played a significant role
in increasing the efficiency of processes across a wide spectrum of industries. When it …

During drug discovery and prior to the first human dose of a novel candidate drug, the
pharmacokinetic (PK) behavior of the drug in humans is predicted from preclinical data. This …