Community structure description in amino acid interaction networks.
Identifieur interne : 000686 ( France/Analysis ); précédent : 000685; suivant : 000687Community structure description in amino acid interaction networks.
Auteurs : Omar Gaci [France]Source :
- Interdisciplinary sciences, computational life sciences [ 1867-1462 ] ; 2011.
English descriptors
- KwdEn :
- MESH :
Abstract
In this paper, we represent proteins by amino acid interaction networks. This is a graph whose vertices are the protein's amino acids and whose edges are the interactions between them. We begin by identifying the main topological properties of these interaction networks using graph theory measures. We observe that the amino acids interact specifically, according to their structural role, and depending on whether they participate or not in the secondary structure. Thus, certain amino acids tend to group together to form local clouds. Then, we study the formation of node aggregations through community structure detections. We observe that the composition of organizations confirms a specific aggregation between loops around a core composed of secondary.
DOI: 10.1007/s12539-011-0061-1
PubMed: 21369888
Affiliations:
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pubmed:21369888Le document en format XML
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<series><title level="j">Interdisciplinary sciences, computational life sciences</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term>
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<term>Protein Interaction Maps</term>
<term>Protein Structure, Tertiary</term>
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<keywords scheme="MESH" xml:lang="en"><term>Algorithms</term>
<term>Models, Molecular</term>
<term>Protein Folding</term>
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<front><div type="abstract" xml:lang="en">In this paper, we represent proteins by amino acid interaction networks. This is a graph whose vertices are the protein's amino acids and whose edges are the interactions between them. We begin by identifying the main topological properties of these interaction networks using graph theory measures. We observe that the amino acids interact specifically, according to their structural role, and depending on whether they participate or not in the secondary structure. Thus, certain amino acids tend to group together to form local clouds. Then, we study the formation of node aggregations through community structure detections. We observe that the composition of organizations confirms a specific aggregation between loops around a core composed of secondary.</div>
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