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Title

 

 

 

 

 

Recognition of protein complexation based on hydrophobicity distribution

Authors

 

Mateusz Banach1,2, Irena Roterman1,*

Affiliation

1Department of Bioinformatics and Telemedicine, Collegium Medium – Jagiellonian University, Lazarza 16, 31-530 Krakow, Poland; 2Faculty of Physics, Astronomy and Applied Computer Science – Jagiellonian University, Reymonta 4, 30-059 Krakow, Poland

 

Email

 

myroterm@cyf-kr.edu.pl

Article Type

 

Hypothesis

Date

 

Received August 04, 2009; Accepted August 18, 2009; Published September 30, 2009

Abstract

The identification of the surface area able to generate the protein-protein complexation ligand and ion ligation is critical for the recognition of the biological function of particular proteins. The technique based on the analysis of the irregularity of hydrophobicity distribution is used as the criterion for the recognition of the interaction regions. Particularly, the exposure of hydrophobic residues on the surface of protein as well as the localization of the hydrophilic residues in the hydrophobic core is treated as potential area ready to interact with external molecules. The model based on the “fuzzy oil drop” approach treating the protein molecule as the drop of hydrophobicity concentrated in the central part of structure with the hydrophobicity close to zero on the surface according to 3-dimensional Gauss function. The comparison with the observed hydrophobicy in particular protein reveals some irregularities. These irregularities seem to represent the aim-oriented localization.

 

Keywords

hydrophobicity distribution, protein complexation, fuzzy-oil-drop model

 

Citation

 

Banach & Roterman, Bioinformation 4(3): 98-100 (2009)

Edited by

 

P. Kangueane

 

ISSN

 

0973-2063

 

Publisher

 

Biomedical Informatics

License

 

 

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.