Literature DB >> 1579565

Analysis of protein sheet topologies by graph theoretical methods.

I Koch1, F Kaden, J Selbig.   

Abstract

In order to find rules for the secondary structure prediction of proteins which describe the (sequentially) long-range interactions in sheet structures methods of applied graph theory were used. The so called beta graph which describes the sheet topology was defined for every protein in the Brookhaven Data Bank containing beta sheets. The resemblance of proteins at that topological level is discussed, and four notations and graphic representations of sheets which describe the sequential and topological neighborhoods of the strands were derived. This description level supports the usage of data structures which allow the implementation of efficient algorithms for the analysis and comparison of beta structures in proteins. A computer program for the representation and retrieval of bibliographic data and beta sheet structures was implemented. Some examples for substructure search illustrate the usefulness of the program. Two graphic catalogues were compiled: one contains all beta graphs of PDB proteins and the other all occurring different greek key descriptions.

Mesh:

Year:  1992        PMID: 1579565     DOI: 10.1002/prot.340120403

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  6 in total

1.  Protein structural topology: Automated analysis and diagrammatic representation.

Authors:  D R Westhead; T W Slidel; T P Flores; J M Thornton
Journal:  Protein Sci       Date:  1999-04       Impact factor: 6.725

2.  A chemical group graph representation for efficient high-throughput analysis of atomistic protein simulations.

Authors:  Noah C Benson; Valerie Daggett
Journal:  J Bioinform Comput Biol       Date:  2012-06-22       Impact factor: 1.122

3.  Structure-based identification and clustering of protein families and superfamilies.

Authors:  S D Rufino; T L Blundell
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4.  PTGL: a database for secondary structure-based protein topologies.

Authors:  Patrick May; Annika Kreuchwig; Thomas Steinke; Ina Koch
Journal:  Nucleic Acids Res       Date:  2009-11-11       Impact factor: 16.971

5.  Connectivity independent protein-structure alignment: a hierarchical approach.

Authors:  Bjoern Kolbeck; Patrick May; Tobias Schmidt-Goenner; Thomas Steinke; Ernst-Walter Knapp
Journal:  BMC Bioinformatics       Date:  2006-11-21       Impact factor: 3.169

6.  ProLego: tool for extracting and visualizing topological modules in protein structures.

Authors:  Taushif Khan; Shailesh Kumar Panday; Indira Ghosh
Journal:  BMC Bioinformatics       Date:  2018-05-04       Impact factor: 3.169

  6 in total

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