Literature DB >> 11800712

Model for calculation of electrostatic interactions in unfolded proteins.

P J Kundrotas1, A Karshikoff.   

Abstract

An approach for the calculation of electrostatic interactions and titration properties of unfolded polypeptide chains (denatured proteins) is proposed. It is based on a simple representation of the denatured proteins as a state with titratable sites distributed on the surface of a sphere, radius of which is assumed to be equal to the radius of gyration, R(g), of an unfolded molecule. Distances between the charges, d, obey constraints arising from the protein sequence. Criteria for evaluation of the parameters R(g) and d were obtained from computer simulations on a polypeptide consisting of 20 identical amino acids (polylysine). The model was applied for calculation of titration curves of denatured barnase and staphylococcal nuclease. It was demonstrated that the approach proposed gives considerably better agreement with the experimental data than the commonly used null approximation. It was also found that titration properties of denatured proteins are slightly, but distinguishably influenced by the amino-acid sequence of the protein.

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Year:  2001        PMID: 11800712     DOI: 10.1103/PhysRevE.65.011901

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  6 in total

1.  Site-specific contributions to the pH dependence of protein stability.

Authors:  Martin Tollinger; Karin A Crowhurst; Lewis E Kay; Julie D Forman-Kay
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-01       Impact factor: 11.205

2.  Modeling of denatured state for calculation of the electrostatic contribution to protein stability.

Authors:  Petras J Kundrotas; Andrey Karshikoff
Journal:  Protein Sci       Date:  2002-07       Impact factor: 6.725

3.  Residual charge interactions in unfolded staphylococcal nuclease can be explained by the Gaussian-chain model.

Authors:  Huan-Xiang Zhou
Journal:  Biophys J       Date:  2002-12       Impact factor: 4.033

4.  Predicting folding free energy changes upon single point mutations.

Authors:  Zhe Zhang; Lin Wang; Yang Gao; Jie Zhang; Maxim Zhenirovskyy; Emil Alexov
Journal:  Bioinformatics       Date:  2012-01-11       Impact factor: 6.937

5.  Electrostatic effects in unfolded staphylococcal nuclease.

Authors:  Nicholas C Fitzkee; Bertrand García-Moreno E
Journal:  Protein Sci       Date:  2008-02       Impact factor: 6.725

6.  A coarse-grained molecular model for glycosaminoglycans: application to chondroitin, chondroitin sulfate, and hyaluronic acid.

Authors:  Mark Bathe; Gregory C Rutledge; Alan J Grodzinsky; Bruce Tidor
Journal:  Biophys J       Date:  2005-04-01       Impact factor: 4.033

  6 in total

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