DeepSecMS Advances DIA-Based Selenoproteome Profiling Through Cys-to-Sec Proxy Training.

ABSTRACT: Selenoproteins, defined as proteins containing the 21st amino acid, selenocysteine (Sec, U), are functionally important but rare, with only 25 selenoproteins characterized in the entire human proteome to date. To comprehensively analyze selenoproteomes, previously developed selenocysteine-specific mass spectrometry (SecMS) and the selenocysteine insertion sequence (SECIS)-independent selenoprotein database (SIS) have provided effective tools for analyzing the selenoproteome and, more importantly, hold the potential to uncover new selenoproteins. In this study, a deep learning approach is employed to develop the DeepSecMS method. Given the rarity of Sec and its chemical similarity to cysteine (Cys, C), a proxy training strategy is utilized using a large dataset of Cys-containing peptides to

SUBMITTER: Si C 

PROVIDER: S-EPMC12520545 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature