Machine-learning-boosted drug discovery with 10-fold time reduction

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 teamed up with industry and supercomputers ...

Discovery opens possibility of new ion channel-targeting drugs

Ion channels are attractive drug targets due to their importance in health and disease, but finding ways to target a specific ion channel selectively is a major challenge. Now, researchers at Weill Cornell Medicine and RMIT ...

Adapting Ritalin to tackle cocaine abuse

Cocaine use continues to be a public health problem, yet despite concerted efforts, no drugs have been approved to resolve cocaine addiction. Research suggests that the attention-deficit/hyperactivity disorder drug methylphenidate ...

Researchers use quantum circuit to identify single nucleotides

DNA sequencing technology, i.e., determining the order of nucleotide bases in a DNA molecule, is central to personalized medicine and disease diagnostics, yet even the fastest technologies require hours, or days, to read ...

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