PRODIGY

PRODIGY predicts protein–protein binding affinities from three-dimensional structures to estimate interaction energies of protein–protein complexes.

Key Features:

• Binding affinity prediction: Predicts binding affinities (binding energies) of protein–protein complexes from structural data.
• Three-dimensional structure utilization: Uses 3D structural coordinates of protein–protein complexes as the basis for analysis.
• Predictive model based on intermolecular contacts and non-interface surface properties: Employs a model that integrates intermolecular contacts with properties derived from non-interface surfaces to estimate binding energies.

Scientific Applications:

• Biological function analysis: Aids interpretation of structural determinants of protein interactions underlying biological functions.
• Disease research: Enables investigation of how changes in protein–protein interaction strengths may contribute to disease and identify potential targets.
• Therapeutic development: Supports assessment of molecules that disrupt or stabilize specific protein–protein interactions for drug development.

Methodology:

Uses a predictive model that integrates intermolecular contacts with properties of non-interface surfaces to estimate binding energies from 3D protein–protein complex structures.