Physics-Based Computational Protein Design: An Update

Area of Science:

• Computational Biology
• Biophysics
• Protein Engineering

Background:

• Protein design is crucial for developing novel biomolecules with specific functions.
• Physics-based computational methods offer a powerful approach to protein design.

Purpose of the Study:

• To describe physics-based methods for protein design.
• To present recent applications and advancements in computational protein design.

Main Methods:

• Utilizing Monte Carlo (MC) simulations for exploring sequence and conformational space.
• Employing molecular mechanics and continuum electrostatics for folded state energy calculations.
• Developing adaptive Wang-Landau MC methods for versatile design objectives.

Main Results:

• Demonstrated successful redesign of a PDZ domain and an aminoacyl-tRNA synthetase enzyme.
• Showcased that protein sequences and conformations form a well-defined statistical ensemble.
• Validated the transferability and systematic improvement of the described methods.

Conclusions:

• Physics-based protein design methods provide physical insights and are applicable to all biomolecules.
• The described computational strategies enable design for various properties like substrate affinity and catalytic efficiency.
• Ongoing development includes incorporating greater backbone and side chain flexibility using molecular dynamics.