Roadmaps through free energy landscapes calculated using the multi-dimensional vFEP approach

Area of Science:

• Computational Chemistry
• Molecular Dynamics
• Biophysics

Background:

• Constructing free energy profiles from molecular simulation data presents challenges.
• Traditional methods struggle with re-weighting overlap and data representation, especially in higher dimensions.

Purpose of the Study:

• To extend the variational free energy profile (vFEP) method to two dimensions (2D-vFEP).
• To address limitations in traditional free energy profile construction methods.
• To provide a robust and efficient tool for analyzing molecular simulation data.

Main Methods:

• Extension of the variational free energy profile (vFEP) method to two dimensions.
• Application to molecular simulation data, including alanine dipeptide backbone torsion angles.
• Development and release of a new software tool for 1D and 2D vFEP calculations.

Main Results:

• The 2D-vFEP method effectively overcomes re-weighting and data representation issues.
• Stable, analytic free energy profiles are generated with significantly reduced data.
• Identified stationary points and pathways on the free energy surface.
• Demonstrated superior performance compared to other methods in data efficiency and profile stability.

Conclusions:

• 2D-vFEP offers a robust and efficient approach for free energy calculations in molecular simulations.
• The method provides valuable insights into molecular mechanisms and can guide future simulations.
• Publicly available software facilitates the application of 2D-vFEP in computational studies.