Literature DB >> 18434498

Predicting protein folding rates from geometric contact and amino acid sequence.

Zheng Ouyang1, Jie Liang.   

Abstract

Protein folding speeds are known to vary over more than eight orders of magnitude. Plaxco, Simons, and Baker (see References) first showed a correlation of folding speed with the topology of the native protein. That and subsequent studies showed, if the native structure of a protein is known, its folding speed can be predicted reasonably well through a correlation with the "localness" of the contacts in the protein. In the present work, we develop a related measure, the geometric contact number, N (alpha), which is the number of nonlocal contacts that are well-packed, by a Voronoi criterion. We find, first, that in 80 proteins, the largest such database of proteins yet studied, N (alpha) is a consistently excellent predictor of folding speeds of both two-state fast folders and more complex multistate folders. Second, we show that folding rates can also be predicted from amino acid sequences directly, without the need to know the native topology or other structural properties.

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Year:  2008        PMID: 18434498      PMCID: PMC2441995          DOI: 10.1110/ps.034660.108

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  31 in total

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4.  Folding rates and low-entropy-loss routes of two-state proteins.

Authors:  Thomas R Weikl; Ken A Dill
Journal:  J Mol Biol       Date:  2003-06-06       Impact factor: 5.469

5.  Structural determinants of the rate of protein folding.

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6.  A statistical model for predicting protein folding rates from amino acid sequence with structural class information.

Authors:  M Michael Gromiha
Journal:  J Chem Inf Model       Date:  2005 Mar-Apr       Impact factor: 4.956

7.  Protein folding rates estimated from contact predictions.

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Journal:  J Mol Biol       Date:  2005-05-06       Impact factor: 5.469

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Authors:  Claudia Merlo; Ken A Dill; Thomas R Weikl
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-11       Impact factor: 11.205

9.  Scaling of folding times with protein size.

Authors:  Athi N Naganathan; Victor Muñoz
Journal:  J Am Chem Soc       Date:  2005-01-19       Impact factor: 15.419

10.  Multiple sequence threading: an analysis of alignment quality and stability.

Authors:  W R Taylor
Journal:  J Mol Biol       Date:  1997-06-27       Impact factor: 5.469

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  38 in total

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Review 3.  Taming the complexity of protein folding.

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4.  A novel topology for representing protein folds.

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Authors:  Angelo Miguel Figueiredo; Sara B-M Whittaker; Stuart E Knowling; Sheena E Radford; Geoffrey R Moore
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Review 8.  Stepwise optimization of recombinant protein production in Escherichia coli utilizing computational and experimental approaches.

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Journal:  Appl Microbiol Biotechnol       Date:  2020-02-19       Impact factor: 4.813

9.  Principles of cotranslational ubiquitination and quality control at the ribosome.

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10.  SeqRate: sequence-based protein folding type classification and rates prediction.

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Journal:  BMC Bioinformatics       Date:  2010-04-29       Impact factor: 3.169

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