Literature DB >> 16477599

Amino acid sequence predicts folding rate for middle-size two-state proteins.

Ji-Tao Huang1, Jing Tian.   

Abstract

The significant correlation between protein folding rates and the sequence-predicted secondary structure suggests that folding rates are largely determined by the amino acid sequence. Here, we present a method for predicting the folding rates of proteins from sequences using the intrinsic properties of amino acids, which does not require any information on secondary structure prediction and structural topology. The contribution of residue to the folding rate is expressed by the residue's Omega value. For a given residue, its Omega depends on the amino acid properties (amino acid rigidity and dislike of amino acid for secondary structures). Our investigation achieves 82% correlation with folding rates determined experimentally for simple, two-state proteins studied until the present, suggesting that the amino acid sequence of a protein is an important determinant of the protein-folding rate and mechanism. (c) 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16477599     DOI: 10.1002/prot.20911

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  8 in total

1.  Real value prediction of protein folding rate change upon point mutation.

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2.  The kinetics of aggregation of poly-glutamic acid based polypeptides.

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3.  Analysis of the differences in the folding mechanisms of c-type lysozymes based on contact maps constructed with interresidue average distances.

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4.  Improving protein fold recognition using the amalgamation of evolutionary-based and structural based information.

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Journal:  BMC Bioinformatics       Date:  2014-12-08       Impact factor: 3.169

5.  Machine Learning: How Much Does It Tell about Protein Folding Rates?

Authors:  Marc Corrales; Pol Cuscó; Dinara R Usmanova; Heng-Chang Chen; Natalya S Bogatyreva; Guillaume J Filion; Dmitry N Ivankov
Journal:  PLoS One       Date:  2015-11-25       Impact factor: 3.240

6.  A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition.

Authors:  Alok Sharma; Kuldip K Paliwal; Abdollah Dehzangi; James Lyons; Seiya Imoto; Satoru Miyano
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7.  Sequence analysis on the information of folding initiation segments in ferredoxin-like fold proteins.

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Journal:  BMC Struct Biol       Date:  2014-05-23

Review 8.  Solution of Levinthal's Paradox and a Physical Theory of Protein Folding Times.

Authors:  Dmitry N Ivankov; Alexei V Finkelstein
Journal:  Biomolecules       Date:  2020-02-06
  8 in total

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