ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,749,554, issued on Sept. 29, was assigned to Genentech Inc. (South San Francisco, Calif.).
"Machine learning enabled prediction of molecular structures and properties" was invented by Jae Hyeon Lee (Boston), Andrew Martin Watkins (San Francisco) and Payman Yadollahpour (South San Francisco, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A method may include receiving a molecular structure file specifying an initial three-dimensional structure of a molecule. A representation of the molecule may be determined based on the molecular structure file. For example, the representation of the molecule may include a plurality of coarse-grained nodes, each...