See also stories tagged with Drug discovery
A relatively simple peptide modification could unlock a whole class of targets for drug discovery, new research shows.
Almost a century ago, the discovery of antibiotics like penicillin revolutionized medicine by harnessing the natural bacteria-killing abilities of microbes. Now, a new study co-led by researchers at the Perelman School of ...
Scientists at the University of Wisconsin–Madison have developed the most sensitive method yet for detecting and profiling a single molecule—unlocking a new tool that holds potential for better understanding how the building ...
Organosulfur compounds, organic compounds containing sulfur, are vital in biological processes and research fields like pharmaceuticals, biomedical imaging, agriculture, and electronics. Compounds like phenothiazine, thianthrene ...
Proteins are like tiny machines in our bodies, helping with almost everything we do, including breaking down food, carrying messages between cells, and building and repairing tissues, like muscles and skin.
Artificial intelligence (AI) has numerous applications in health care, from analyzing medical imaging to optimizing the execution of clinical trials, and even facilitating drug discovery.
Retrosynthesis aims to predict a set of reactants for producing given molecules, which plays a significant part in the biochemistry field, such as molecular pathway design and drug discovery. Most existing methods only benefit ...
A team of scientists from A*STAR's Genome Institute of Singapore (GIS) and Bioinformatics Institute (BII) has developed a new AI software tool called "BANKSY" that automatically recognizes the cell types present in a tissue, ...
Scientists at UC San Diego have developed a machine learning algorithm to simulate the time-consuming chemistry involved in the earliest phases of drug discovery, which could significantly streamline the process and open ...
For most human proteins, there are no small molecules known to bind them chemically (so-called "ligands"). Ligands frequently represent important starting points for drug development but this knowledge gap critically hampers ...
