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Citation
Kundrotas, P.J., Karshikoff, A. (2004). Charge sequence coding in statistical modeling of unfolded proteins.  Biochim. Biophys. Acta 1702(1): 1--8.
FlyBase ID
FBrf0179990
Publication Type
Research paper
Abstract
Unfolded proteins recently attracted attention due to accumulation of experimental evidences for their significant role in different life processes. Modeling of electrostatic interactions (EI) in unfolded state of proteins is becoming increasingly important as well. In this paper, we stress on the importance of how the sequence of charged residues of a given protein is incorporated into the models for calculation of EI in the unfolded state. On the basis of the distributions of distances between titratable sites of charged residues calculated for polypeptide chains of various compositions, it was found that the distance distribution for a pair of residues, located close to each other along the sequence of a protein, depends on what residues constitute the pair in question. It was concluded that the consideration of these residue-specific distributions is essential for a statistical model to be accurate from the physical point of view. It was suggested that use of distance intervals in the spherical model of unfolded proteins accounts better for the charge sequence than the set of single distance values. This was illustrated by comparison of the pK values of the titratable groups of the unfolded N-terminal SH3 domain of the Drosophila protein drk to the available experimental data.
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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Biochim. Biophys. Acta
    Title
    Biochimica et Biophysica Acta
    Publication Year
    1947-
    ISBN/ISSN
    0006-3002
    Data From Reference
    Genes (1)