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• W2912083700 endingPage "479" @default.
• W2912083700 startingPage "470" @default.
• W2912083700 abstract "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. Conclusion: There is a great demand for computational prediction of non-canonical DNAs that play key functional roles in gene expression and genome biology. In this study, we review the currently available computational methods for predicting the non-canonical DNAs in the genome. Current studies not only provide an insight into the computational methods for predicting the secondary structures of DNA but also increase our understanding of the roles of non-canonical DNA in the genome." @default.
• W2912083700 created "2019-02-21" @default.
• W2912083700 creator A5001672348 @default.
• W2912083700 creator A5023546631 @default.
• W2912083700 creator A5031370734 @default.
• W2912083700 creator A5063595248 @default.
• W2912083700 date "2019-07-16" @default.
• W2912083700 modified "2023-09-24" @default.
• W2912083700 title "Computational Approaches to Predict the Non-canonical DNAs" @default.
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• W2912083700 doi "https://doi.org/10.2174/1574893614666190126143438" @default.

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