WebProAnalyst

WebProAnalyst analyzes correlations between amino acid properties and quantitative measures of protein activity across aligned protein families to identify residues that influence function.

Key Features:

• Correlation Analysis: Analyzes aligned amino acid sequences alongside quantitative activity data to correlate amino acid substitutions and physicochemical characteristics (e.g., hydrophobicity, alpha-helical amphipathicity) with activity parameters such as pK, K(m), and ED(50).
• Methodological Approaches: Employs methodologies from the ProAnalyst package, including multiple linear regression and sequence–activity correlation coefficients to assess relationships between amino acid characteristics and protein activity.
• Neural Network Integration: Integrates a neural network-based approach to model complex sequence–activity relationships.
• Comprehensive Reporting: Generates reports listing sites within protein families with significant correlations, including regression parameters and correlation values.

Scientific Applications:

• Residue Identification: Identifies amino acid residues critical for protein function by linking substitutions or physicochemical properties to activity changes.
• Protein Engineering Guidance: Informs targeted protein-engineering experiments aimed at modifying protein function.
• Activity Interpretation: Interprets how specific physicochemical characteristics (e.g., hydrophobicity, alpha-helical amphipathicity) affect activity measures such as pK, K(m), and ED(50).

Methodology:

Implements ProAnalyst-derived methods including multiple linear regression, sequence–activity correlation coefficients, and a neural network approach applied to aligned amino acid sequences and quantitative activity data, and outputs regression parameters and correlation values.