Informace o publikaci

Prediction of significant cruciform structures from sequence in topologically constrained DNA - a probabilistic modelling approach

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LEXA Matej NEJEDLÝ Karel NAVRÁTILOVÁ Lucie BRÁZDOVÁ Marie

Druh Článek ve sborníku
Konference Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms.
Fakulta / Pracoviště MU

Lékařská fakulta Přírodovědecká fakulta Fakulta informatiky Středoevropský technologický institut

Citace
WWW http://www.scitepress.org/DigitalLibrary/Link.aspx?paper=9f700959-af79-464c-b538-1dee9f7ee26f
Doi http://dx.doi.org/10.5220/0003705701240130
Obor Informatika
Klíčová slova cruciforms; simulation; mathematical model; stability; DNA; superhelicity
Přiložené soubory
Popis Sequence-dependent secondary DNA structures, such as cruciform or triplex DNA, are implicated in regulation of gene transcription and other important biological processes at the molecular level. Sequences capable of forming these structures can readily be identified in entire genomes by appropriate searching techniques. However, not every DNA segment containing the proper sequence has equal probability of forming an alternative structure. Calculating the free energy of the potential structures provides an estimate of their stability in vivo, but there are other structural factors, both local and non-local, not taken into account by such simplistic approach. In is paper we present the procedure we currently use to identify potential cruciform structures in DNA sequences. The procedure relies on identification of palindromes (or inverted repeats) and their evaluation by a nucleic acid folding program (UNAFold). We further extended the procedure by adding a modelling step to filter the predicted cruciforms. The model takes into account superhelical density of the analyzed segments of DNA and calculates the probability of cruciforms forming at several locations of the analyzed DNA, based on the sequences in the stem and loop areas of the structures and competition among them.
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