Literature DB >> 21791534

A dynamic programming algorithm for identification of triplex-forming sequences.

Matej Lexa1, Tomáš Martínek, Ivana Burgetová, Daniel Kopeček, Marie Brázdová.   

Abstract

MOTIVATION: Current methods for identification of potential triplex-forming sequences in genomes and similar sequence sets rely primarily on detecting homopurine and homopyrimidine tracts. Procedures capable of detecting sequences supporting imperfect, but structurally feasible intramolecular triplex structures are needed for better sequence analysis.
RESULTS: We modified an algorithm for detection of approximate palindromes, so as to account for the special nature of triplex DNA structures. From available literature, we conclude that approximate triplexes tolerate two classes of errors. One, analogical to mismatches in duplex DNA, involves nucleotides in triplets that do not readily form Hoogsteen bonds. The other class involves geometrically incompatible neighboring triplets hindering proper alignment of strands for optimal hydrogen bonding and stacking. We tested the statistical properties of the algorithm, as well as its correctness when confronted with known triplex sequences. The proposed algorithm satisfactorily detects sequences with intramolecular triplex-forming potential. Its complexity is directly comparable to palindrome searching. AVAILABILITY: Our implementation of the algorithm is available at http://www.fi.muni.cz/lexa/triplex as source code and a web-based search tool. The source code compiles into a library providing searching capability to other programs, as well as into a stand-alone command-line application based on this library. CONTACT: lexa@fi.muni.cz SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2011        PMID: 21791534     DOI: 10.1093/bioinformatics/btr439

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  13 in total

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4.  Intrastrand triplex DNA repeats in bacteria: a source of genomic instability.

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9.  Preferential binding of hot spot mutant p53 proteins to supercoiled DNA in vitro and in cells.

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Journal:  Nucleic Acids Res       Date:  2013-10-07       Impact factor: 16.971

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