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Free energy and hidden barriers of the β-sheet structure of prion protein
Journal article   Open access   Peer reviewed

Free energy and hidden barriers of the β-sheet structure of prion protein

S Alexis Paz and Cameron F Abrams
Journal of chemical theory and computation, v 11(10), pp 5024-5034
13 Oct 2015
PMID: 26574287
url
https://doi.org/10.1021/acs.jctc.5b00576View
Published, Version of Record (VoR)CC BY-NC-SA V4.0 Open

Abstract

Thermodynamics Animals Hydrogen Bonding Protein Structure, Secondary Mice Prions - chemistry Molecular Dynamics Simulation
On-the-fly free-energy parametrization is a new collective variable biasing approach akin to metadynamics with one important distinction: rather than acquiring an accelerated distribution via a history-dependent bias potential, sampling on this distribution is achieved from the beginning of the simulation using temperature-accelerated molecular dynamics. In the present work, we compare the performance of both approaches to compute the free-energy profile along a scalar collective variable measuring the H-bond registry of the β-sheet structure of the mouse Prion protein. Both methods agree on the location of the free-energy minimum, but free-energy profiles from well-tempered metadynamics are subject to a much higher degree of statistical noise due to hidden barriers. The sensitivity of metadynamics to hidden barriers is shown to be a consequence of the history dependence of the bias potential, and we detail the nature of these barriers for the prion β-sheet. In contrast, on-the-fly parametrization is much less sensitive to these barriers and thus displays improved convergence behavior relative to that of metadynamics. While hidden barriers are a frequent and central issue in free-energy methods, on-the-fly free-energy parametrization appears to be a robust and preferable method to confront this issue.

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Web of Science research areas
Chemistry, Physical
Physics, Atomic, Molecular & Chemical
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