Literature DB >> 14502481

Importance of native-state topology for determining the folding rate of two-state proteins.

M Michael Gromiha1.   

Abstract

Understanding the relationship between amino acid sequences and folding rate of proteins is a challenging task similar to protein folding problem. In this work, we have analyzed the relative importance of protein sequence and structure for predicting the protein folding rates in terms of amino acid properties and contact distances, respectively. We found that the parameters derived with protein sequence (physical-chemical, energetic, and conformational properties of amino acid residues) show very weak correlation (|r| < 0.39) with folding rates of 28 two-state proteins, indicating that the sequence information alone is not sufficient to understand the folding rates of two-state proteins. However, the maximum positive correlation obtained for the properties, number of medium-range contacts, and alpha-helical tendency reveals the importance of local interactions to initiate protein folding. On the other hand, a remarkable correlation (r varies from -0.74 to -0.88) has been obtained between structural parameters (contact order, long-range order, and total contact distance) and protein folding rates. Further, we found that the secondary structure content and solvent accessibility play a marginal role in determining the folding rates of two-state proteins. Multiple regression analysis carried out with the combination of three properties, beta-strand tendency, enthalpy change, and total contact distance improved the correlation to 0.92 with protein folding rates. The relative importance of existing methods along with multiple-regression model proposed in this work will be discussed. Our results demonstrate that the native-state topology is the major determinant for the folding rates of two-state proteins.

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Year:  2003        PMID: 14502481     DOI: 10.1021/ci0340308

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  10 in total

1.  Elucidating protein thermodynamics from the three-dimensional structure of the native state using network rigidity.

Authors:  Donald J Jacobs; Sargis Dallakyan
Journal:  Biophys J       Date:  2004-11-12       Impact factor: 4.033

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

Authors:  Liang-Tsung Huang; M Michael Gromiha
Journal:  J Comput Aided Mol Des       Date:  2012-03-18       Impact factor: 3.686

3.  On the role of structural class of a protein with two-state folding kinetics in determining correlations between its size, topology, and folding rate.

Authors:  Andrei Y Istomin; Donald J Jacobs; Dennis R Livesay
Journal:  Protein Sci       Date:  2007-11       Impact factor: 6.725

4.  Monomer topology defines folding speed of heptamer.

Authors:  Neil Bascos; Jesse Guidry; Pernilla Wittung-Stafshede
Journal:  Protein Sci       Date:  2004-04-09       Impact factor: 6.725

5.  Update of PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence.

Authors:  H B Rao; F Zhu; G B Yang; Z R Li; Y Z Chen
Journal:  Nucleic Acids Res       Date:  2011-05-23       Impact factor: 16.971

6.  FOLD-RATE: prediction of protein folding rates from amino acid sequence.

Authors:  M Michael Gromiha; A Mary Thangakani; S Selvaraj
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

7.  Application of amino acid occurrence for discriminating different folding types of globular proteins.

Authors:  Y-h Taguchi; M Michael Gromiha
Journal:  BMC Bioinformatics       Date:  2007-10-22       Impact factor: 3.169

Review 8.  Computational and experimental approaches to reveal the effects of single nucleotide polymorphisms with respect to disease diagnostics.

Authors:  Tugba G Kucukkal; Ye Yang; Susan C Chapman; Weiguo Cao; Emil Alexov
Journal:  Int J Mol Sci       Date:  2014-05-30       Impact factor: 5.923

9.  Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis.

Authors:  Salma Jamal; Mohd Khubaib; Rishabh Gangwar; Sonam Grover; Abhinav Grover; Seyed E Hasnain
Journal:  Sci Rep       Date:  2020-03-26       Impact factor: 4.379

Review 10.  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
  10 in total

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