PTMProphet

PTMProphet localizes post-translational modifications on peptides and assigns site-localization confidence using statistical modeling of mass spectrometry spectral evidence.

Key Features:

• Statistical Modeling: Employs a statistical framework that evaluates all possible site-localization configurations for each modified peptide to estimate localization probabilities and confidence.
• Spectrum Evidence Integration: Integrates mass spectrometry spectral evidence into its scoring to ground localization predictions in empirical fragment ion data.
• Integration with TPP: Operates within the Trans-Proteomics Pipeline (TPP) for processing large-scale quantitative mass spectrometry proteomics datasets.

Scientific Applications:

• PTM Localization in Proteomics: Provides site-level localization probabilities for post-translational modifications in peptide identifications from tandem mass spectra.
• Protein Function and Regulation Studies: Supports interpretation of how specific PTM sites affect protein function and regulatory mechanisms.
• Cellular Signaling and Phenotype Analysis: Aids elucidation of molecular events and dynamic cellular states by identifying confidently localized modification sites relevant to signaling and phenotype changes.

Methodology:

Applies a statistical model that evaluates all possible modification-site configurations for peptides and integrates mass spectrometry spectral evidence to compute localization confidence within the Trans-Proteomics Pipeline (TPP).