Computer-aided drug discovery has been around for decades, although the past few years
have seen a tectonic shift towards embracing computational technologies in both academia …

Since the introduction of insulin almost a century ago, more than 80 peptide drugs have
reached the market for a wide range of diseases, including diabetes, cancer, osteoporosis …

Genetic drugs based on nucleic acid biomolecules are a rapidly emerging class of
medicines that directly reprogramme the central dogma of biology to prevent and treat …

Drug discovery relies on the knowledge of not only drugs and targets, but also the
comparative agents and targets. These include poor binders and non-binders for develo** …

Human coronaviruses (HCoVs), including severe acute respiratory syndrome coronavirus
(SARS-CoV) and 2019 novel coronavirus (2019-nCoV, also known as SARS-CoV-2), lead …

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 …

Protein–protein interactions (PPIs) have pivotal roles in life processes. The studies showed
that aberrant PPIs are associated with various diseases, including cancer, infectious …

G protein-coupled receptors (GPCRs) are the most intensively studied drug targets, mostly
due to their substantial involvement in human pathophysiology and their pharmacological …

As one of the most successful therapeutic target families, G protein-coupled receptors
(GPCRs) have experienced a transformation from random ligand screening to knowledge …

Abstract Knowledge of therapeutic targets and early drug candidates is useful for improved
drug discovery. In particular, information about target regulators and the patented …