Literature DB >> 16789910

Gauss-function-Based model of hydrophobicity density in proteins.

Leszek Konieczny1, Michal Brylinski, Irena Roterman.   

Abstract

The model adopting the three-dimensional Gauss function to express the hydrophobicity distribution in proteins is presented in this paper. The tendency to create the hydrophobic center during protein folding is expressed in form of an external force field of the form of three-dimensional Gauss function which directs the folding polypeptide to locate the hydrophobic residues in a central part of the molecule and hydrophilic ones exposed toward the molecular surface. The decrease of the differences between hydrophobicity distribution as it appears at each step of the folding simulation and the expected hydrophobicity distribution (three-dimensional Gauss function) is the convergence criterion together with traditional non-bonding interaction optimization. The model was applied to fold the hypothetical membrane protein (target protein in CASP6) TA0354_69_121 from Thermoplasma acidophilum.

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Year:  2006        PMID: 16789910

Source DB:  PubMed          Journal:  In Silico Biol        ISSN: 1386-6338


  26 in total

1.  Localization of ligand binding site in proteins identified in silico.

Authors:  Michal Brylinski; Marek Kochanczyk; Elzbieta Broniatowska; Irena Roterman
Journal:  J Mol Model       Date:  2007-03-30       Impact factor: 1.810

2.  "Fuzzy oil drop" model applied to individual small proteins built of 70 amino acids.

Authors:  Katarzyna Prymula; Kinga Sałapa; Irena Roterman
Journal:  J Mol Model       Date:  2010-01-19       Impact factor: 1.810

3.  Fuzzy oil drop model to interpret the structure of antifreeze proteins and their mutants.

Authors:  Mateusz Banach; Katarzyna Prymula; Wiktor Jurkowski; Leszek Konieczny; Irena Roterman
Journal:  J Mol Model       Date:  2011-04-27       Impact factor: 1.810

4.  Fast and automated functional classification with MED-SuMo: an application on purine-binding proteins.

Authors:  Olivia Doppelt-Azeroual; François Delfaud; Fabrice Moriaud; Alexandre G de Brevern
Journal:  Protein Sci       Date:  2010-04       Impact factor: 6.725

5.  "Fuzzy oil drop" model verified positively.

Authors:  Mateusz Banach; Katarzyna Prymula; Leszek Konieczny; Irena Roterman
Journal:  Bioinformation       Date:  2011-02-07

6.  Recognition of protein complexation based on hydrophobicity distribution.

Authors:  Mateusz Banach; Irena Roterman
Journal:  Bioinformation       Date:  2009-09-30

7.  Intermediates in the protein folding process: a computational model.

Authors:  Irena Roterman; Leszek Konieczny; Mateusz Banach; Wiktor Jurkowski
Journal:  Int J Mol Sci       Date:  2011-07-29       Impact factor: 5.923

8.  Prediction of functionally important residues in globular proteins from unusual central distances of amino acids.

Authors:  Marek Kochańczyk
Journal:  BMC Struct Biol       Date:  2011-09-18

9.  Local combinational variables: an approach used in DNA-binding helix-turn-helix motif prediction with sequence information.

Authors:  Wenwei Xiong; Tonghua Li; Kai Chen; Kailin Tang
Journal:  Nucleic Acids Res       Date:  2009-08-03       Impact factor: 16.971

10.  Chaperonin structure: the large multi-subunit protein complex.

Authors:  Mateusz Banach; Katarzyna Stąpor; Irena Roterman
Journal:  Int J Mol Sci       Date:  2009-03-02       Impact factor: 6.208

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