From Alanine Dipeptide to Glycerol-3-phosphate transpor: Invariant PMFs and Rates
POSTER
Abstract
Analyses of molecular dynamics (MD) often project high-dimensional motion onto collective variables (CVs), yet thermodynamic and kinetic quantities computed in CV space can spuriously depend on the coordinates themselves. We present a Riemannian framework that treats CV space as a manifold with a natural metric, ensuring invariance of the potential of mean force (PMF), minimum free-energy path (MFEP), and rate constants under smooth reparameterizations. We first diagnose why conventional PMF definitions and path constructions violate invariance, using simple examples to clarify the resulting biases. We then define geometry-aware PMF and MFEP and introduce a generalized diffusion model on the manifold with position-dependent metric and diffusivity. From this model, we derive practical estimators for the along-the-path metric, PMF, and transition rates from unbiased trajectories. Applied to alanine dipeptide, the method recovers a single, invariant free-energy surface and consistent MFEPs and rate estimates across distinct CV choices, showing that apparent discrepancies are coordinate artifacts. We further validate the framework on the glycerol-3-phosphate transporter (GlpT), a major facilitator superfamily protein that alternates between inward- and outward-facing states, obtaining the highest barrier of 7.3 kcal/mol (vs. ~8.4 kcal/mol experimentally) and transition rates of the same order of magnitude as experiment.
*This research was supported by the National Science Foundation under Grant No. CHE-1945465 and by the National Institutes of Health under Grants R35GM147423 and R24GM145965. Computational resources were provided by the Arkansas High-Performance Computing Center, the Blue Waters sustained-petascale computing project (supported by the National Science Foundation, Award No. ACI-1238993, and the State of Illinois), and the Texas Advanced Computing Center (TACC) at The University of Texas at Austin.
Publication:A. Fakharzadeh, C. Goolsby, E. Tajkhorshid, and M. Moradi, "Thermodynamic and kinetic characterization of protein conformational dynamics within a Riemannian diffusion formalism." (Under review at J. Phys. Chem. A). A. Fakharzadeh, J. Losey, C. Goolsby, E. Tajkhorshid, and M. Moradi, "Along-the-path Markov models for state transition in membrane transporters." (Ready for submission).