See also stories tagged with Drug discovery
Research co-led by University of Toronto researchers and Insilico Medicine has demonstrated the potential of quantum computing and artificial intelligence to transform the drug discovery pipeline.
A team of scientists has developed a groundbreaking approach using specially designed peptides to improve drug formulations. This innovative method significantly enhances anti-tumor efficacy, as demonstrated in leukemia models. ...
A new study from Oregon Health & Science University has uncovered how small molecules within bacteria interact with proteins, revealing a network of molecular connections that could improve drug discovery and cancer research.
As the capabilities of generative AI models have grown, you've probably seen how they can transform simple text prompts into hyperrealistic images and even extended video clips.
A new study from the Kowalinski group at EMBL Grenoble characterized the structure of an important trypanosomal protein complex, potentially paving the way for novel drug discovery in the future. The research is published ...
Antibiotics are a double-edged sword—they should be as toxic as possible to pathogenic bacteria while being harmless to the cells of the human body. An international research team led by the Helmholtz Institute for Pharmaceutical ...
Scientists have long considered ketones (a fundamental chemical class) and esters (molecules formed when an acid reacts with an alcohol) to be locked treasure chests of possibilities. Ubiquitous as pharmaceutical intermediates, ...
Ebola virus, one of the deadliest pathogens, has a fatality rate of about 50%, posing a serious threat to global health and safety. To address this challenge, researchers at the University of Minnesota and the Midwest Antiviral ...
Researchers at the University of Oklahoma have developed a breakthrough method of adding a single nitrogen atom to molecules, unlocking new possibilities in drug research and development. Now published in the journal Science, ...
A team led by researchers at the University of Toronto has created a platform, called SIMPL2, that improves the study of protein-protein interactions by simplifying detection while improving measurement accuracy.
