PHOSIDA

PHOSIDA curates and annotates over 80,000 posttranslational modification (PTM) sites across nine species using high-resolution mass spectrometry data to enable prediction and study of phosphorylation, N-glycosylation, and acetylation.

Key Features:

• Database Environment: Integrates high-resolution proteomic data with extensive annotations for each PTM site.
• Prediction Platform: Provides species-specific phosphorylation and acetylation site predictors trained on the PHOSIDA dataset to predict modified residues from protein primary sequences.
• Toolkit Section: Includes tools for sequence motif searches and de novo consensus sequence identification for large-scale dataset analysis.

Scientific Applications:

• Functional Genomics: Predicting potential modification sites to explore gene function and regulation.
• Proteomics Research: Managing and analyzing large-scale proteomic datasets to study protein modifications and cellular processes.
• Drug Discovery and Development: Informing drug target identification by characterizing phosphorylation and acetylation in disease-relevant proteins.

Methodology:

Uses high-resolution mass spectrometric data with stringent quality criteria; species-specific predictors trained on the PHOSIDA dataset using protein primary sequences; motif searching and de novo consensus sequence identification.