2000
DOI: 10.1006/jmbi.2000.3693
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Topological and energetic factors: what determines the structural details of the transition state ensemble and “en-route” intermediates for protein folding? an investigation for small globular proteins

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Cited by 1,182 publications
(1,777 citation statements)
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References 82 publications
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“…To address the "why is folding fast" question, recent theoretical discussions emphasize the funnel-like nature of the protein folding energy landscape as a solution to the Levinthal paradox 44,45 ( Figure 8b); and common Gō potentials are often used to model a relatively smooth funnel-like energy landscape. 12 We found that calorimetric two-state cooperativity can be consistent with the funnel-like landscapes of three-dimensional Gō models, provided some lattitude is allowed for empirical baseline subtractions. This is because in these native-centric models, the conformational populations with intermediate energies (enthalpies) -though not zero -are relatively low.…”
Section: Discussion: a Near-levinthal Scenario For Simple Two-state Pmentioning
confidence: 58%
“…To address the "why is folding fast" question, recent theoretical discussions emphasize the funnel-like nature of the protein folding energy landscape as a solution to the Levinthal paradox 44,45 ( Figure 8b); and common Gō potentials are often used to model a relatively smooth funnel-like energy landscape. 12 We found that calorimetric two-state cooperativity can be consistent with the funnel-like landscapes of three-dimensional Gō models, provided some lattitude is allowed for empirical baseline subtractions. This is because in these native-centric models, the conformational populations with intermediate energies (enthalpies) -though not zero -are relatively low.…”
Section: Discussion: a Near-levinthal Scenario For Simple Two-state Pmentioning
confidence: 58%
“…The influence of sequence-local interactions, a reflection of native state chain "topology" or "contact order", in accelerating folding has been developed into several models for protein folding, 20,21 and has been invoked as a major factor behind the successful prediction of folding pathways in globular proteins by simple funneled Go-models, 22 in which all native contacts are treated as uniformly favorable. [23][24][25] The success of Go-models in predicting the folding pathways of several proteins without energetic bias for specific contacts calls into question the importance of local stability in determining folding pathways, although a few recent simulations have indicated that folding is influenced by essential energetic components not accounted for by overall topological features. 24,26,27 In comparison to globular proteins, the structures of repeat proteins are highly conducive to testing for the existence of preferred pathways, and for determining how such pathways are specified.…”
Section: Introductionmentioning
confidence: 99%
“…How to satisfy these criteria for off-lattice chains is, by contrast, largely unknown, and therefore many current off-lattice models [5,[8][9][10][11][12][13][14] use Gō-type potentials [7] where non-native interactions are ignored. The use of the Gō approximation has some support from the finding that the native structure is a determinant for folding kinetics [15,16].…”
Section: Introductionmentioning
confidence: 99%