Systematic characterization of protein folding pathways using diffusion maps: application to Trp-cage miniprotein

Area of Science:

• Computational Biology
• Biophysics
• Structural Biology

Background:

• Protein folding is crucial for biological function but its mechanisms are complex.
• Molecular simulations offer atomistic insights into protein folding dynamics.
• Traditional order parameters lack the ability to fully capture folding dynamics.

Purpose of the Study:

• To explore the utility of diffusion maps for analyzing protein folding trajectories.
• To systematically extract structural and dynamical information from molecular dynamics simulations.
• To identify and visualize protein folding pathways and intermediates.

Main Methods:

• Applied nonlinear dimensionality reduction using diffusion maps.
• Embedded high-dimensional molecular dynamics simulation data into a lower-dimensional space.
• Analyzed eigenvectors to parametrize the folding landscape.

Main Results:

• Diffusion maps effectively characterized the folding process of a Trp-cage miniprotein.
• Identified two distinct folding pathways and relevant intermediate structures.
• Results were consistent with previous experimental and computational studies.

Conclusions:

• Diffusion maps provide a systematic and effective method for analyzing protein folding.
• This technique facilitates the visualization and construction of protein folding pathways from simulation data.
• Offers a powerful tool for understanding protein dynamics and structure-function relationships.