News
Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...
One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...
Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...
Achieving high efficiency, long operational lifetime, and excellent color purity is essential for organic light-emitting ...
The two companies collaborated on research showing quantum computing could greatly aid the design of mRNA-based medicines and ...
Explore how AI can enhance each stage of design thinking—from empathy to prototyping—without compromising human-centric ...
This is particularly important to drug discovery. “When ligands bind to proteins, they kick out water from binding sites, so we need to pay attention to them in ligand design,” said Fischer.
Drug discovery set to be 'revolutionised' as ETH Zurich designs new AI algorithm, tested with colleagues at Roche, for new active pharmaceutical ingredients.
Densest subgraph discovery algorithms form a vital field of research within graph theory and data mining, aiming to identify highly interconnected subsets within larger networks. These methods ...
Aurora is revolutionizing how scientists use AI and simulation to tackle some of the most complex challenges in science and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results