DeepSearch: A highly sensitive deep learning–based approach to identify proteins
Peptide identification is a core challenge in proteomics, the study of proteins, their structure and functions. Unlike genomics, which examines an organism’s genetic information, proteomics is far more complex. The proteome — the complete set of proteins produced or modified by a cell or system — varies not only across different cell types but also over time.
DeepSearch, a novel deep learning–based end-to-end database search method developed by PhD student Yonghan Yu and University Professor Ming Li brings new capabilities to protein identification.