Literature DB >> 17518766

Sequence-structure-function relation characterized in silico.

Michal Brylinski1, Marek Kochanczyk, Leszek Konieczny, Irena Roterman.   

Abstract

Methods for biological function recognition in silico appeared to be useful also for identifying characteristics of structure-to-function relations. The introduction of a three-dimensional Gauss function was assumed to represent the hydrophobic core in a protein molecule. The discrepancy between idealized "fuzzy oil-drop" and the observed one in real proteins appeared to be localized in the ligation site or in the area of biological function related part of protein molecule. The examples of proteins presented in this paper reveal that the structure-function relation can be evaluated and characterized also using the profile of the difference in value between idealized and real hydrophobicity distribution along the polypeptide chain. The specificity of particular polypeptide chain fragments in respect to their biological function and their specific participation in active site creation is discussed in this paper. The scale allowing comparison of different proteins in respect to their ligand-binding sites characteristics is introduced.

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Year:  2006        PMID: 17518766

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


  4 in total

Review 1.  FINDSITE: a combined evolution/structure-based approach to protein function prediction.

Authors:  Jeffrey Skolnick; Michal Brylinski
Journal:  Brief Bioinform       Date:  2009-03-26       Impact factor: 11.622

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.  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

4.  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

  4 in total

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