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‘Protein Peeling’: an approach for splitting a 3D protein structure into compact fragments
Author(s) -
JeanChristophe Gelly,
Alexandre G. de Brevern,
S. Hazout
Publication year - 2005
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti773
Subject(s) - computer science , protein structure , algorithm , entropy (arrow of time) , series (stratigraphy) , partition (number theory) , data mining , theoretical computer science , mathematics , combinatorics , biology , paleontology , biochemistry , physics , quantum mechanics
The object of this study is to propose a new method to identify small compact units that compose protein three-dimensional structures. These fragments, called 'protein units (PU)', are a new level of description to well understand and analyze the organization of protein structures. The method only works from the contact probability matrix, i.e. the inter Calpha-distances translated into probabilities. It uses the principle of conventional hierarchical clustering, leading to a series of nested partitions of the 3D structure. Every step aims at dividing optimally a unit into 2 or 3 subunits according to a criterion called 'partition index' assessing the structural independence of the subunits newly defined. Moreover, an entropy-derived squared correlation R is used for assessing globally the protein structure dissection. The method is compared to other splitting algorithms and shows relevant performance.

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