Drug designing and development is an important area of research for pharmaceutical
companies and chemical scientists. However, low efficacy, off-target delivery, time …

Blockchain and artificial intelligence technologies are novel innovations in healthcare
sector. Data on healthcare indices are collected from data published on Web of Sciences …

Evaluating pharmacokinetic properties of small molecules is considered a key feature in
most drug development and high-throughput screening processes. Generally …

Network pharmacology is an emerging area of systematic drug research that attempts to
understand drug actions and interactions with multiple targets. Network pharmacology has …

The recent pandemic of coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 has
raised global health concerns. The viral 3-chymotrypsin-like cysteine protease (3CL pro) …

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 …

Machine learning (ML) models to predict the toxicity of small molecules have garnered great
attention and have become widely used in recent years. Computational toxicity prediction is …

The relationship between gut microbial metabolism and mental health is one of the most
intriguing and controversial topics in microbiome research. Bidirectional microbiota–gut …

Abstract Summary admetSAR was developed as a comprehensive source and free tool for
the prediction of chemical ADMET properties. Since its first release in 2012 containing 27 …

Neurological disorders significantly outnumber diseases in other therapeutic areas.
However, develo** drugs for central nervous system (CNS) disorders remains the most …