Efficient numerical reconstruction of protein folding kinetics with partial path sampling and pathlike variables

Area of Science:

• Computational biology
• Biophysics
• Molecular dynamics

Background:

• Accurate prediction of protein folding rates is crucial for understanding biological processes.
• Current computational methods face challenges in efficiency and accuracy for complex biological systems.

Purpose of the Study:

• To develop a computationally feasible and efficient method for predicting rate constants of protein folding.
• To validate the methodology using a well-characterized biological system.

Main Methods:

• Utilized partial path transition interface sampling (pTIS) combined with path collective variables (PCVs).
• Optimized interfaces and free-energy profiles were derived using PCVs.
• Applied the method to calculate the folding rate constant of the Trp-cage miniprotein.

Main Results:

• The developed methodology enables feasible and efficient rate calculations for practical biological applications.
• Achieved accuracy comparable to traditional transition path sampling (TPS).
• Reduced computational cost significantly compared to TPS.

Conclusions:

• The combination of pTIS and PCVs provides an efficient and accurate approach for calculating protein folding rates.
• This method represents a significant advancement for computational studies in biophysics and molecular dynamics.
• The approach is suitable for practical biological applications, offering a cost-effective alternative to existing methods.