See also stories tagged with Drug discovery
Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well?
Using artificial intelligence, MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies.
Southwest Research Institute scientists and engineers have developed a custom large language model (LLM) to accelerate drug design and discovery.
Cornell chemists have developed a way to use electrochemistry, a sustainable technique, to make chiral molecules, which occur in mirrored pairs, like human hands. Common in pharmaceuticals, chiral molecules are important ...
A research team has successfully identified a novel DNA damage repair pathway in human cells. This study is the first to discover that proteins present in the nuclear membrane of cells directly interact with damaged DNA, ...
Researchers have spent years taking apart one of the world's simplest microbes, Mycoplasma pneumoniae, piece by piece, and created a detailed list of what molecular parts the living cell can and cannot do without, knowledge ...
A study published in Nature Biotechnology reveals a powerful new use for artificial intelligence: designing small, drug-like molecules that can stick to and break down harmful proteins in the body—even when scientists don't ...
For months, Sabrina Staples stared at a silicone chip no bigger than a postage stamp, trying to coax cells into doing something remarkable. But every time she loaded her delicate microfluidic device with cells, a single rogue ...
Photosynthesis is nature's way of turning sunlight into chemical energy.
Traditional drug development methods involve identifying a target protein (e.g., a cancer cell receptor) that causes disease, and then searching through countless molecular candidates (potential drugs) that could bind to ...
