Literature DB >> 17061925

Algorithmic computation of knot polynomials of secondary structure elements of proteins.

Frank Emmert-Streib1.   

Abstract

The classification of protein structures is an important and still outstanding problem. The purpose of this paper is threefold. First, we utilize a relation between the Tutte and homfly polynomial to show that the Alexander-Conway polynomial can be algorithmically computed for a given planar graph. Second, as special cases of planar graphs, we use polymer graphs of protein structures. More precisely, we use three building blocks of the three-dimensional protein structure--alpha-helix, antiparallel beta-sheet, and parallel beta-sheet--and calculate, for their corresponding polymer graphs, the Tutte polynomials analytically by providing recurrence equations for all three secondary structure elements. Third, we present numerical results comparing the results from our analytical calculations with the numerical results of our algorithm-not only to test consistency, but also to demonstrate that all assigned polynomials are unique labels of the secondary structure elements. This paves the way for an automatic classification of protein structures.

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Year:  2006        PMID: 17061925     DOI: 10.1089/cmb.2006.13.1503

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.479


  6 in total

1.  A topological algorithm for identification of structural domains of proteins.

Authors:  Frank Emmert-Streib; Arcady Mushegian
Journal:  BMC Bioinformatics       Date:  2007-07-03       Impact factor: 3.169

2.  New polynomial-based molecular descriptors with low degeneracy.

Authors:  Matthias Dehmer; Laurin A J Mueller; Armin Graber
Journal:  PLoS One       Date:  2010-07-30       Impact factor: 3.240

3.  Limitations of gene duplication models: evolution of modules in protein interaction networks.

Authors:  Frank Emmert-Streib
Journal:  PLoS One       Date:  2012-04-18       Impact factor: 3.240

4.  A topological framework for the computation of the HOMFLY polynomial and its application to proteins.

Authors:  Federico Comoglio; Maurizio Rinaldi
Journal:  PLoS One       Date:  2011-04-13       Impact factor: 3.240

5.  Location of zeros of Wiener and distance polynomials.

Authors:  Matthias Dehmer; Aleksandar Ilić
Journal:  PLoS One       Date:  2012-03-16       Impact factor: 3.240

6.  Shortest path counting in probabilistic biological networks.

Authors:  Yuanfang Ren; Ahmet Ay; Tamer Kahveci
Journal:  BMC Bioinformatics       Date:  2018-12-04       Impact factor: 3.169

  6 in total

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