Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
Proteins spontaneously fold into intricate three-dimensional shapes which are key to nearly every biological process. But the complexity of protein shapes makes them difficult to study. Recently, ...
Biologists have developed a computer modeling technique that lets them use cryo-electron microscopy to identify multiple possible structures that a protein can take. Cryo-electron microscopy (cryo-EM) ...
A new machine-learning approach assesses the accuracy of structural models of RNA molecules. From a training set of known RNA structures, the algorithm learns the characteristic features of RNA, such ...
A recent study published in Nature Materials examined how machine learning is used to reveal the atomic mechanisms of argyrodites, which could open the doors for a new age of energy storage. This is ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
Feb. 4 (UPI) --To study biological molecules like proteins, scientists rely on cryo-electron microscopy. The 3D-imaging technology is ideal for studying proteins that exist in only a single structural ...
Managing real-time data is crucial for technologies that help computers learn and make decisions, a field known as machine learning. In simple terms, machine learning teaches computers to find ...
Chemical engineers have developed a machine-learning model that can predict a compound's oxidation state, a property that is so essential that many chemists argue it must be included in the periodic ...
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