LPIcom

LPIcom analyzes protein-ligand interactions to identify and predict ligand-interacting residues and binding motifs across 824 distinct ligands using PDB-derived binding sites.

Key Features:

• Extensive Ligand Coverage: Supports analysis for 824 distinct ligands, each represented by a minimum of 30 protein binding sites in the Protein Data Bank (PDB).
• Analysis Module: Identifies residues preferentially involved in interactions and determines binding motifs, for example highlighting glycine, lysine, and arginine as common residues in ATP-binding sites.
• Comparison Module: Compares and clusters protein-binding sites across multiple ligands based on interacting residues, exemplified by clustering of ATP, ADP, and GTP due to high residue similarity.
• Propensity-Based Prediction Module: Employs propensity-based methods to predict which residues within a protein are likely to interact with over 800 different ligands.
• Integrated Web Tools: Produces visual representations such as web logos and performs statistical comparisons between interacting and non-interacting residues.

Scientific Applications:

• Drug discovery: Aids identification of potential therapeutic targets by predicting ligand-binding residues and motifs relevant to small-molecule interactions.
• Molecular and structural biology: Facilitates elucidation of binding motifs and residue propensities underlying protein-ligand recognition.
• Systems and evolutionary biology: Supports exploration of metabolic pathways and evolutionary relationships by comparing ligand-interacting residues across proteins and ligands.

Methodology:

Uses PDB-derived binding sites (≥30 sites per ligand), residue-preference identification and binding-motif determination, binding-site comparison and clustering across ligands, propensity-based residue prediction for >800 ligands, and generation of web logos plus statistical comparisons between interacting and non-interacting residues.