Protein-protein association rates captured in a single geometric parameter

Area of Science:

• Biophysics
• Structural Biology
• Computational Biology

Background:

• Protein-protein interactions are crucial for biological functions.
• Predicting association rates is vital for understanding biological processes and drug design.

Purpose of the Study:

• To identify a simple geometric parameter that correlates with protein-protein association rates.
• To investigate the role of electrostatic steering in protein complex formation.

Main Methods:

• Analysis of geometric parameters in crystal structures of protein-protein complexes.
• Correlation analysis between geometric parameters and experimentally determined association rates.
• Development of a predictive model based on the identified geometric parameter.

Main Results:

• A single geometric parameter, the angle between subunit electric dipoles and partner-generated electric fields, linearly correlates with association rates.
• The cosine of this angle alone can predict association rate constants with high accuracy.
• Electrostatic orientation in crystal structures reflects dynamic kinetic processes.

Conclusions:

• Electrostatic steering is a universal mechanism influencing protein-protein association rates.
• A simple geometric parameter derived from crystal structures can accurately predict association kinetics.
• This finding can inform the development of more efficient coarse-grained models for protein interactions.