Resumen
Protein and peptide identification based on tandem mass spectrometry is a pillar technology in proteomics research. In recent years, increasing numbers of researchers have utilized deep learning to tackle challenges in proteomics. For example, catalyzed by deep learning, AlphaFold has achieved unparalleled levels of accuracy in protein-structure prediction. Prior to studying the structure and function of proteins in cells or tissues, it is essential to determine the sequences of amino acids in peptides or proteins. De novo peptide sequencing can be used to directly infer the peptide sequence from a tandem mass spectrum without the requirement for a reference sequence database, making it particularly suitable for the determination of protein sequences of unknown species, monoclonal antibodies, and cancer neoantigens.