Drug discovery can be a long and complex process. Medicines for neurodegenerative diseases like Alzheimer's disease are among ...

When it comes to the fentanyl crisis, the Seattle Public Library is pairing education with action by offering from naloxone ...

To identify an inexpensive oral drug for treating sickle cell disease, researchers performed a high-throughput phenotypic screen of the ReFRAME drug repurposing library. This identified 106 compounds ...

Drug discovery efforts based on DNA-encoded chemical libraries are inadvertently overlooking numerous potential drug ...

A decade ago there was talk that high-throughput screening (HTS) was a contributory factor in drug discovery’s declining productivity and that it stifled creativity and innovation. 1 But the last ten ...

The library started out with millions of potential drug candidates. The researchers then tasked the computer with fitting them against a 3D rendering of the 5-HT2A serotonin receptor.

Researchers in Finland have combined virtual drug screening with machine learning (ML) – carried out on supercomputers – to dramatically shorten the time taken to identify candidate molecules.

Boosting virtual screening with machine learning allowed for a 10-fold time reduction in the processing of 1.56 billion drug-like molecules. Researchers from the University of Eastern Finland ...

Drug-like diversity library (Maybridge HitFinder v11) The HitFinderTM Collection comprises 14,400 premier compounds representing the drug-like diversity of the Maybridge Screening Collection, offering ...

The Banff Public Library partnered with primary care networks in the area to offer free drug testing kits across the Bow Valley in the lead up to New Year's Eve.

One team looked at a bespoke library of tetrahydropyridines to find molecules that could bind to the serotonin 5-HT 2A receptor (5-HT 2A R)—a target for antidepressants—without also initiating ...