Researchers at the Salk Institute developed ShortStop, a machine learning platform designed to identify microproteins coded by previously overlooked noncoding regions of the genome. By mining existing datasets, the tool discovers novel protein candidates that may have significant biological relevance, including in disease contexts such as lung cancer. This work highlights the complexity of the proteome and opens new avenues for biomarker and therapeutic target discovery beyond traditional protein-coding genes.