CLIPPER 2.0: Peptide-Level Annotation and Data Analysis for Positional Proteomics.

ABSTRACT: Positional proteomics methodologies have transformed protease research, and have brought mass spectrometry (MS)-based degradomics studies to the forefront of protease characterization and system-wide interrogation of protease signaling. Considerable advancements in both sensitivity and throughput of liquid chromatography (LC)-MS/MS instrumentation enable the generation of enormous positional proteomics datasets of natural and protein termini and neo-termini of cleaved protease substrates. However, concomitant progress has not been observed to the same extent in data analysis and post-processing steps, arguably constituting the largest bottleneck in positional proteomics workflows. Here, we present a computational tool, CLIPPER 2.0, that builds on prior algorithms developed for MS-based pro

SUBMITTER: Kalogeropoulos K 

PROVIDER: S-EPMC11192779 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature