61
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

Stochastic dynamics and dominant protein folding pathways

, , &
Pages 4093-4099 | Received 27 Jun 2008, Accepted 07 Nov 2008, Published online: 03 Dec 2010
 

Abstract

We present the results of a recently developed theoretical framework denominated Dominant Reaction Pathways (DRP), to study thermally activated reactions in multi-dimensional systems. In particular, we focus on application to the protein folding reaction. By applying the saddle-point approximation to the stochastic path integral generated by the Langevin equation, we derive a least-action principle, which allows us to rigorously determine directly the most probable reaction pathways, bypassing the long-standing computational problems associated with the decoupling of time-scales in the problem. We show the results of number validation studies, in which the accuracy of the DRP approach was assessed, studying molecular transitions. In all cases, the DRP predictions are found to be consistent with the MD results, but extremely less computationally expensive.

Notes

Note

1. Two residues are considered in contact if their distance is less than 6 A. The fraction of native-like contacts in is defined as the number of non-consecutive residues in contact, divided by the number of non-consecutive residues in contact in the native state.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 786.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.