Literature DB >> 9600893

Folding funnels and frustration in off-lattice minimalist protein landscapes.

H Nymeyer1, A E García, J N Onuchic.   

Abstract

A full quantitative understanding of the protein folding problem is now becoming possible with the help of the energy landscape theory and the protein folding funnel concept. Good folding sequences have a landscape that resembles a rough funnel where the energy bias towards the native state is larger than its ruggedness. Such a landscape leads not only to fast folding and stable native conformations but, more importantly, to sequences that are robust to variations in the protein environment and to sequence mutations. In this paper, an off-lattice model of sequences that fold into a beta-barrel native structure is used to describe a framework that can quantitatively distinguish good and bad folders. The two sequences analyzed have the same native structure, but one of them is minimally frustrated whereas the other one exhibits a high degree of frustration.

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Year:  1998        PMID: 9600893      PMCID: PMC34496          DOI: 10.1073/pnas.95.11.5921

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  60 in total

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5.  Building self-avoiding lattice models of proteins using a self-consistent field optimization.

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Journal:  Nat Struct Biol       Date:  1996-11

7.  Why are some proteins structures so common?

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Journal:  Proc Natl Acad Sci U S A       Date:  1996-04-16       Impact factor: 11.205

Review 8.  Submillisecond kinetics of protein folding.

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9.  Simple model of protein folding kinetics.

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  90 in total

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2.  Folding of a pressure-denatured model protein.

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7.  Thermodynamics and kinetics of a folded-folded' transition at valine-9 of a GCN4-like leucine zipper.

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8.  Three-helix-bundle protein in a Ramachandran model.

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9.  Nonglassy kinetics in the folding of a simple single-domain protein.

Authors:  B Gillespie; K W Plaxco
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-24       Impact factor: 11.205

10.  On hydrophobicity correlations in protein chains.

Authors:  A Irbäck; E Sandelin
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