ALEXANDRIA, Va., Sept. 15 -- United States Patent no. 12,738,346, issued on Sept. 15, was assigned to GENENTECH INC. (South San Francisco, Calif.).

"Using neural networks to predict peptide immunogenicity" was invented by Kai Liu (Belmont, Calif.), Milad Salem (Orlando, Fla.) and William John Thrift (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, systems, compositions, and computer program products are provided for accurately identifying candidate neoantigens that exhibit immunogenic properties. In some embodiments, a method provided herein includes receiving a set of candidate peptide sequences, each candidate peptide sequence in the set having a major histocompatibility complex (MHC)...