Computational Approaches to Predict the Non-canonical DNAs

(E-pub Ahead of Print)

Author(s): Nazia Parveen, Amen Shamim, Seunghee Cho, Kyeong Kyu Kim*.

Journal Name: Current Bioinformatics

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Background: Although most nucleotides in the genome form canonical double-stranded B-DNA, many repeated sequences transiently present as non-canonical conformations (non-B DNA) such as triplexes, quadruplexes, Z-DNA, cruciforms, and slipped/hairpins. Those noncanonical DNAs (ncDNAs) are not only associated with many genetic events such as replication, transcription, and recombination, but are also related to the genetic instability that results in the predisposition to disease. Due to the crucial roles of ncDNAs in cellular and genetic functions, various computational methods have been implemented to predict sequence motifs that generate ncDNA.

Objective: Here, we review strategies for the identification of ncDNA motifs across the whole genome, which is necessary for further understanding and investigation of the structure and function of ncDNAs.

Keywords: DNA, Bioinformatics, prediction, structure

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Article Details

(E-pub Ahead of Print)
DOI: 10.2174/1574893614666190126143438
Price: $95