A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Researchers propose a computational method to reveal the hidden timing structure of live performance. Vanessa C. Pope and ...

Chemical biology increasingly benefits from the close integration of experimental structural techniques and computational ...

David Baker, Nobel laureate and UW adjunct professor, gave a public lecture discussing the development and applications of ...

Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life work started as a molecular guess, with scientists hypothesizing that a ...

Associate Professor Yuichiro Matsushita of Materials and Structures Laboratory, Institute of Science Tokyo, Mitsubishi ...

The conference stands as a testament to the university's growing role as a hub for high-impact research and interdisciplinary ...

Chemists at UCLA are showing that some of organic chemistry’s most famous “rules” aren’t as unbreakable as once thought. By ...

Researchers at NYU and the University of Florida claim its neural network proposes molecular structures at 10 times the speed ...

X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...