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Explicit Characterization of the Free-Energy Landscape of a Protein in the Space of All Its Cα Carbons

Sormani G.
•
Rodriguez A.
•
Laio A.
2020
  • journal article

Periodico
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
Abstract
By using an approach that allows computing the free energy in high-dimensional spaces together with a clustering technique capable of identifying kinetic attractors stabilized by conformational disorder, we analyze a molecular dynamics trajectory of the Villin headpiece from Lindorff-Larsen, K.; et al. How fast-folding proteins fold. Science 2011, 334, 517-520. We compute its free-energy landscape in the space of all its Cα carbons. This landscape has the shape of a 12-dimensional funnel with the free energy decreasing monotonically as a function of the native contacts. There are no significant folding barriers. The funnel can be partitioned in five regions, three mainly folded and two unfolded, which behave as Markov states. The slowest relaxation time among these states corresponds to the folding transition. The second slowest time is only twice smaller and corresponds to a transition within the unfolded state. This indicates that the unfolded part of the funnel has a nontrivial shape, which induces a sizable kinetic barrier between disordered states.
DOI
10.1021/acs.jctc.9b00800
WOS
WOS:000508474800007
Archivio
https://hdl.handle.net/11368/3034881
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85077220118
https://pubs.acs.org/doi/10.1021/acs.jctc.9b00800
Diritti
open access
license:copyright editore
license:digital rights management non definito
license uri:iris.pri02
license uri:iris.pri00
FVG url
https://arts.units.it/request-item?handle=11368/3034881
Soggetti
  • Animal

  • Carbon

  • Chicken

  • Cluster Analysi

  • Kinetic

  • Markov Chain

  • Microfilament Protein...

  • Molecular Dynamics Si...

  • Protein Conformation

  • Protein Folding

  • Thermodynamics

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