OMG science
fromNature
5 days agoDaily briefing: The air is full of DNA - here's what it can teach us
Airborne DNA and penguins are being used to study ecosystems and monitor environmental pollutants.
Modern scientific societies are increasingly vulnerable due to their dependence on membership fees and journal subscriptions, which are being challenged by the rise of virtual networking and open-access publishing.
Alkynes are widely used as feedstock chemicals and functional groups in organic chemistry. However, while the hydrogenation from an alkyne to an alkene is well established, typical methods for the reverse reaction—conversion of an alkene to an alkyne—are based on elimination chemistry reported in the 1860s and use forcing conditions (strong base or high temperatures).
The exponential growth of scientific literature presents an increasingly acute challenge across disciplines. Hundreds of thousands of new chemical reactions are reported annually, yet translating them into actionable experiments becomes an obstacle1,2. Recent applications of large language models (LLMs) have shown promise3,4,5,6, but systems that reliably work for diverse transformations across de novo compounds have remained elusive. Here we introduce MOSAIC (Multiple Optimized Specialists for AI-assisted Chemical Prediction), a computational framework that enables chemists to harness the collective knowledge of millions of reaction protocols.
There is nothing more fundamental to human existence than breathing. Without air, people die in a matter of minutes. As well as the oxygen that is essential for survival, air contains pollutants of increasingly anthropogenic origin. These contaminants are emitted into outdoor air by combustion, which is essential for generating energy, and by the industrial and agricultural processes that underpin every element of modern life. Contaminants also penetrate buildings, in which they mingle with indoor air pollutants, rendering homes and offices not entirely safe.
Now, researchers have created an artificial-intelligence system that vastly simplifies and accelerates the process of chemical synthesis. The system, which is called MOSAIC and is described in a study published in Nature on 19 January, recommended conditions that researchers were able to use to generate 35 compounds with the potential to become products like pharmaceuticals, agrochemicals or cosmetics without needing to do any further trawling or tweaking.
"We didn't do any LLMs. There is significant interest in that. There are lots of people trying those ideas out, but I think they're still in the exploratory phase," Desai told El Reg. As it turned out, the researchers didn't need them. "We used a simpler model called a variational auto encoder (VAE). This model was established in 2013. It's one of the early generative models," Desai said.
Calling nanoscientists: your field needs you to try to replicate a landmark finding that quantum dots can act as biosensors inside living cells. As part of the first large-scale effort in the physical sciences to tackle the reproducibility crisis, researchers in France and the Netherlands are offering funds and resources in exchange for a few months of work. "We are trying to use