In the past, conventional drug discovery strategies have been successfully employed to
develop new drugs, but the process from lead identification to clinical trials takes more than …

Highlights•Online resources facilitate in silico drug-likeness study.•Databases gathering
high quality and up to date data are essential for drug-likeness evaluation.•Web servers for …

Recent outbreak of Coronavirus disease (COVID-19) pandemic around the world is
associated with 'severe acute respiratory syndrome'(SARS-CoV2) in humans. SARS-CoV2 …

Modern therapeutic development often involves several stages that are interconnected, and
multiple iterations are usually required to bring a new drug to the market. Computational …

Introduction We are in an era of bioinformatics and cheminformatics where we can predict
data in the fields of medicine, the environment, engineering and public health. Approaches …

This review presents the main aspects related to pharmacokinetic properties, which are
essential for the efficacy and safety of drugs. This topic is very important because the …

In the drug discovery setting, undesirable ADMET properties of a pharmacophore with good
predictive power obtained after a tedious drug discovery and development process may …

In the last three decades, a wide range of protein features have been discovered to annotate
a protein. Numerous attempts have been made to integrate these features in a software …

Heterocyclic scaffolds are widely utilized for drug design by taking into account the
molecular structure of therapeutic targets that are related to a broad spectrum of ailments …

TCM formulae are the important guidances for clinical application of traditional Chinese
medicines, which follow the principles of diagnosis and treatment in TCM. Elucidating the …