See also stories tagged with Drug discovery
Researchers from the University of Arizona Cancer Center have identified a new method of activating specific molecules to target cancer cells while leaving healthy cells unharmed.
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 ...
A new study finds that a natural compound found in many plants inhibits the growth of drug-resistant Candida fungi—including its most virulent species, Candida auris, an emerging global health threat. The journal ACS Infectious ...
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 ...
A team of chemists from the University of Münster have developed a novel concept in which a mixture of molecules that behave like mirror images is converted to a single form using light as external energy source. The conversion ...
A research team led by University of California, Irvine scientists has developed an innovative method for quickly and efficiently creating vast collections of chemical compounds used in drug discovery by harnessing the power ...
Chemical structures called cyclopropanes can increase the potency and fine-tune the properties of many drugs, but traditional methods to create this structure only work with certain molecules and require highly reactive—potentially ...
Discovering and developing drugs can be slow, costly and high-risk, but harnessing advances in artificial intelligence (AI) can help with these processes, say Brock University researchers.
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 ...
In recent years, a virtual tidal wave of studies linking the expression of certain genes to complex diseases as varied as cancer and diabetes has raised hopes for major advances in medical treatment and drug discovery.
