Literature DB >> 16711854

Graph theoretic properties of networks formed by the Delaunay tessellation of protein structures.

Todd J Taylor1, Iosif I Vaisman.   

Abstract

The Delaunay tessellation of several sets of real and simplified model protein structures has been used to explore graph theoretic properties of residue contact networks. The system of contacts defined by residues joined by edges in the Delaunay simplices can be thought of as a graph or network and analyzed using techniques from elementary graph theory and the theory of complex networks. Such analysis indicates that protein contact networks have small world character, but technically are not small world networks. This approach also indicates that networks formed by native structures and by most misfolded decoys can be differentiated by their respective graph properties. The characteristic features of residue contact networks can be used for the detection of structural elements in proteins, such as the ubiquitous closed loops consisting of 22-32 consecutive residues, where terminal residues are Delaunay neighbors.

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Year:  2006        PMID: 16711854     DOI: 10.1103/PhysRevE.73.041925

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  7 in total

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Review 5.  Graph representation learning for structural proteomics.

Authors:  Romanos Fasoulis; Georgios Paliouras; Lydia E Kavraki
Journal:  Emerg Top Life Sci       Date:  2021-12-21

6.  Revealing unique properties of the ribosome using a network based analysis.

Authors:  Hilda David-Eden; Yael Mandel-Gutfreund
Journal:  Nucleic Acids Res       Date:  2008-07-14       Impact factor: 16.971

7.  An information gain-based approach for evaluating protein structure models.

Authors:  Guillaume Postic; Nathalie Janel; Pierre Tufféry; Gautier Moroy
Journal:  Comput Struct Biotechnol J       Date:  2020-08-18       Impact factor: 7.271

  7 in total

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