Article
Nonnative interactions in coupled folding and binding processes of intrinsically disordered proteins.
State Key Laboratory for Structural Chemistry of Unstable and Stable Species, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.
PLoS ONE (impact factor:
4.09).
01/2010;
5(11):e15375.
DOI:10.1371/journal.pone.0015375
Source: PubMed
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Article: From Levinthal to pathways to funnels.
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ABSTRACT: While the classical view of protein folding kinetics relies on phenomenological models, and regards folding intermediates in a structural way, the new view emphasizes the ensemble nature of protein conformations. Although folding has sometimes been regarded as a linear sequence of events, the new view sees folding as parallel microscopic multi-pathway diffusion-like processes. While the classical view invoked pathways to solve the problem of searching for the needle in the haystack, the pathway idea was then seen as conflicting with Anfinsen's experiments showing that folding is pathway-independent (Levinthal's paradox). In contrast, the new view sees no inherent paradox because it eliminates the pathway idea: folding can funnel to a single stable state by multiple routes in conformational space. The general energy landscape picture provides a conceptual framework for understanding both two-state and multi-state folding kinetics. Better tests of these ideas will come when new experiments become available for measuring not just averages of structural observables, but also correlations among their fluctuations. At that point we hope to learn much more about the real shapes of protein folding landscapes.Natural Structural Biology 02/1997; 4(1):10-9. -
Article: Funnels, pathways, and the energy landscape of protein folding: a synthesis.
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ABSTRACT: The understanding, and even the description of protein folding is impeded by the complexity of the process. Much of this complexity can be described and understood by taking a statistical approach to the energetics of protein conformation, that is, to the energy landscape. The statistical energy landscape approach explains when and why unique behaviors, such as specific folding pathways, occur in some proteins and more generally explains the distinction between folding processes common to all sequences and those peculiar to individual sequences. This approach also gives new, quantitative insights into the interpretation of experiments and simulations of protein folding thermodynamics and kinetics. Specifically, the picture provides simple explanations for folding as a two-state first-order phase transition, for the origin of metastable collapsed unfolded states and for the curved Arrhenius plots observed in both laboratory experiments and discrete lattice simulations. The relation of these quantitative ideas to folding pathways, to uniexponential vs. multiexponential behavior in protein folding experiments and to the effect of mutations on folding is also discussed. The success of energy landscape ideas in protein structure prediction is also described. The use of the energy landscape approach for analyzing data is illustrated with a quantitative analysis of some recent simulations, and a qualitative analysis of experiments on the folding of three proteins. The work unifies several previously proposed ideas concerning the mechanism protein folding and delimits the regions of validity of these ideas under different thermodynamic conditions.Proteins Structure Function and Bioinformatics 04/1995; 21(3):167-95. · 3.39 Impact Factor -
Article: Folding funnels, binding funnels, and protein function
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Keywords
binding kinetics
binding processes
binding rate
chain flexibility
coupled folding
fly-casting
free-energy profiles
interplay
intrinsically disordered proteins
kinetic advantage
kinetic analysis
molecular dynamics simulations
molecules
native
Native interactions
nonnative hydrophobic interactions
nonnative interactions
protein aggregation
Proteins function
rigid structures