AI-driven approach challenges traditional views on protein structure

In a recently published article in Nature Communications,, a team offers an AI-driven approach to explore structural similarities and relationships across the protein universe. The team includes members from the University of Virginia—including Phil Bourne, dean of the School of Data Science, Cam Mura, a senior scientist with the School, and Eli Draizen, a recent UVA alumnus. In a recently published article in Nature Communications,, a team offers an AI-driven approach to explore structural similarities and relationships across the protein universe. The team includes members from the University of Virginia—including Phil Bourne, dean of the School of Data Science, Cam Mura, a senior scientist with the School, and Eli Draizen, a recent UVA alumnus. Molecular & Computational biology Phys.org – latest science and technology news stories