JVirGel

JVirGel simulates virtual two-dimensional (2D) protein gels to predict protein migration based on calculated isoelectric points (pI) and molecular weights (MW) for proteomics analysis.

Key Features:

• Virtual 2D Gel Simulation: Generates virtual 2D protein gels that simulate separation based on isoelectric points (pI) and molecular weights (MW) to predict electrophoretic migration.
• Optimized Proteome Mapping: Uses genomic data to construct proteome maps and excludes obvious membrane proteins to refine virtual gel representations.
• Protein Identification and Localization: Maps calculated migration positions to experimental spots and flags discrepancies between observed and calculated behavior as indicators of potential post-translational modifications.
• Database Integration: Associates protein spots with entries in SWISS-PROT and PRODORIC to link calculated proteins to public database records.
• Analytical Calculations: Performs serial calculations and visualizations of protein properties including pH-dependent charge curves and hydrophobicity profiles relevant to separation and purification.

Scientific Applications:

• Experimental Planning: Predicts electrophoretic outcomes to aid planning of 2D gel experiments and anticipate protein positions.
• Protein Characterization: Assists identification and characterization of proteins by comparing theoretical and observed migration patterns.
• Post-translational Modification Detection: Identifies proteins with altered migration behavior as candidates for post-translational modifications.
• Purification Strategy Design: Informs protein purification approaches using pH-dependent charge curves and hydrophobicity profiles.
• Proteome Analysis: Integrates genomic and proteomic data to produce organism-specific proteome maps for comparative analyses.

Methodology:

Calculates theoretical molecular weights and isoelectric points from genomic data, optionally filters out obvious membrane proteins for proteome mapping, and simulates protein migration on virtual 2D gels based on pI and MW to predict electrophoretic separation.