AFAL

AFAL analyzes amino acid frequencies and spatial distributions around ligands in protein structures to profile protein–ligand interaction sites using Protein Data Bank (PDB) data.

Key Features:

• Spatial Information Analysis: Profiles types and frequencies of amino acids surrounding ligands using spatial coordinates from protein structures.
• Comprehensive Filtering Options: Applies filters by protein family, source organism, resolution, sequence redundancy, and atom–ligand distances to tailor analyses.
• Statistical Insights: Generates statistical data on amino acid involvement in ligand–protein interactions, including residue frequency profiles.
• Comparative Analysis: Compares ligand-binding sites across different proteins to identify conserved and specific interaction patterns.
• Predictive Applications: Uses identified interaction patterns to predict ligand-binding residues in proteins lacking experimental structures.
• Illustrative Application: Has been applied to analyze proteins interacting with adenosine-5'-triphosphate (ATP).

Scientific Applications:

• Drug design and development: Informs rational ligand design by identifying key binding residues to improve specificity and efficacy.
• Structural interpretation: Refines interpretation of existing protein models and structural data by profiling ligand interaction sites.
• Interaction prediction and target discovery: Enables prediction of ligand binding in proteins without structural data, supporting discovery of novel therapeutic targets.

Methodology:

Extracts spatial information from protein structures deposited in the Protein Data Bank (PDB), identifies amino acids surrounding ligands, computes types and frequencies, and produces statistical profiles according to filters such as protein family, source organism, resolution, sequence redundancy, and atom–ligand distances.