3D-partner

3D-Partner predicts protein–protein interacting partners and binding models for query protein sequences using structural complexes and homology-based scoring.

Key Features:

• Homologous Structure Identification: Uses IMPALA (Identification of Molecule Pairs by Alignment and Library Analysis) to detect homologous templates from a heterodimer profile library.
• Interaction Candidate Search: Applies PSI-BLAST to search sequence databases such as SwissProt for potential interacting partners based on template-derived sequence profiles.
• Structure-Based Interaction Scoring: Evaluates candidate interactions using a scoring function incorporating contact-residue interacting scores, including steric compatibility, hydrogen bonding, and electrostatic interactions.
• Template Consensus Evaluation: Computes template consensus scores based on conserved residue coupling and similarity to template complexes.
• Binding Model Generation: Produces predicted binding models with structural features such as hydrogen bonds and conserved amino acid interactions.
• Statistical Significance Estimation: Provides statistical significance values for predicted interactions and binding affinities.

Scientific Applications:

• Protein–Protein Interaction Prediction: Identifies interacting protein partners and predicts structural binding models.
• Structural Biology Analysis: Supports investigation of the structural determinants of protein–protein interactions.
• Functional Protein Annotation: Infers functional roles of proteins based on predicted interaction partners and structural binding interfaces.

Methodology:

The method identifies homologous interaction templates using IMPALA, searches candidate partners with PSI-BLAST against SwissProt, and evaluates predicted complexes using a scoring function integrating contact-residue interaction scores and template consensus scores to generate statistically evaluated binding models.