Literature DB >> 7690608

Computation of biopolymers: a general approach to different problems.

A V Finkelstein1, M A Roytberg.   

Abstract

A comparative analysis of some effective algorithms widely used in analysis, computation and comparison of chain molecules is presented. A notion of a stream in an oriented hypergraph is introduced, which generalizes a notion of a path in a graph. All considered algorithms looking over exponential sets of structures in polynomial time can be described as variants of a general algorithm of analysis of paths in graphs and of streams in oriented hypergraphs.

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Year:  1993        PMID: 7690608     DOI: 10.1016/0303-2647(93)90058-k

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  8 in total

1.  A theoretical search for folding/unfolding nuclei in three-dimensional protein structures.

Authors:  O V Galzitskaya; A V Finkelstein
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-28       Impact factor: 11.205

2.  A unifying framework for seed sensitivity and its application to subset seeds.

Authors:  Gregory Kucherov; Laurent Noé; Mikhail Roytberg
Journal:  J Bioinform Comput Biol       Date:  2006-04       Impact factor: 1.122

3.  Comparison of Real Frequencies of Strings vs. the Expected Ones Reveals the Information Capacity of Macromoleculae.

Authors:  Michael G Sadovsky
Journal:  J Biol Phys       Date:  2003-03       Impact factor: 1.365

4.  Parametric and ensemble sequence alignment algorithms.

Authors:  M S Waterman
Journal:  Bull Math Biol       Date:  1994-07       Impact factor: 1.758

5.  Regions which are Responsible for Swapping are also Responsible for Folding and Misfolding.

Authors:  Oxana V Galzitskaya
Journal:  Open Biochem J       Date:  2011-06-21

Review 6.  Investigating genomic structure using changept: A Bayesian segmentation model.

Authors:  Manjula Algama; Jonathan M Keith
Journal:  Comput Struct Biotechnol J       Date:  2014-08-27       Impact factor: 7.271

7.  Exact correspondence between walk in nucleotide and protein sequence spaces.

Authors:  Dmitry N Ivankov
Journal:  PLoS One       Date:  2017-08-11       Impact factor: 3.240

8.  Predicting protein interactions via parsimonious network history inference.

Authors:  Rob Patro; Carl Kingsford
Journal:  Bioinformatics       Date:  2013-07-01       Impact factor: 6.937

  8 in total

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