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Ivermectin as a potential drug for treatment of COVID-19.

Numerous datasets from historic clinical trials are being reviewed in the hope that existing drugs, that have already been cleared […]

Reducing False Positive Drug Target Predictions

Target prediction with machine learning algorithms can help accelerate the identification of protein targets of hit molecules, limiting the number […]

DrugSpaceX: A Database of Drug-Like Chemicals

One of the most prominent topics in drug discovery is the efficient exploration of the vast number of drug-like chemicals […]

Emerging AI/ML Technologies for Drug Discovery

It is widely known that the traditional drug discovery and development process is extremely time-consuming, expensive and challenging; taking an […]

Identifying Target Populations Using Real-World Data to Guide Antidiabetic Drug Trials

Regulatory agencies have recommended designing more representative trials of anti-diabetic drugs, but this first requires defining clinically relevant target populations […]

An Overview of AI/ML for CNS Drug Discovery

Due to the complex nature of central nervous system diseases and the presence of the blood-brain barrier (among other factors), […]

AlzGPS: A Genome-Wide Positioning Systems Platform for Alzheimer’s Drug Discovery

Recent DNA/RNA sequencing and other multi-omics technologies have advanced our understanding of the biology and pathophysiology of Alzheimer’s disease. However, […]

DrugCentral2021 – A Database for Drug Discovery and Repositioning

A recent study has described the new DrugCentral2021 database, which is a public resource that serves the scientific community by […]

The Promise of AI for Drug-Induced Liver Injury Prediction

Drug-induced liver injury is a common reason for the withdrawal of a drug from the market. Therefore, early assessment of […]

Marine Natural Products Database for Drug Discovery

Marine organisms are expected to be an important source of inspiration for drug discovery. At present, very few databases exist […]