English

Self Consistent Path Sampling: Making Accurate All-Atom Protein Folding Simulations Possible on Small Computer Clusters

Biological Physics 2017-05-08 v1 Soft Condensed Matter Biomolecules

Abstract

We introduce a powerful iterative algorithm to compute protein folding pathways, with realistic all-atom force fields. Using the path integral formalism, we explicitly derive a modified Langevin equation which samples directly the ensemble of reactive pathways, exponentially reducing the cost of simulating thermally activated transitions. The algorithm also yields a rigorous stochastic estimate of the reaction coordinate. After illustrating this approach on a simple toy model, we successfully validate it against the results of ultra-long plain MD protein folding simulations for a fast folding protein (Fip35), which were performed on the Anton supercomputer. Using our algorithm, computing a folding trajectory for this protein requires only 1000 core hours, a computational load which could be even carried out on a desktop workstation.

Keywords

Cite

@article{arxiv.1705.02180,
  title  = {Self Consistent Path Sampling: Making Accurate All-Atom Protein Folding Simulations Possible on Small Computer Clusters},
  author = {S. Orioli and S. A Beccara and P. Faccioli},
  journal= {arXiv preprint arXiv:1705.02180},
  year   = {2017}
}

Comments

10 pages, 7 figures

R2 v1 2026-06-22T19:38:06.933Z