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A nonlinear dynamic model of DNA with a sequence-dependent stacking term

机译:具有序列依赖堆积项的DNA非线性动力学模型

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No simple model exists that accurately describes the melting behavior and breathing dynamics of double-stranded DNA as a function of nucleotide sequence. This is especially true for homogenous and periodic DNA sequences, which exhibit large deviations in melting temperature from predictions made by additive thermodynamic contributions. Currently, no method exists for analysis of the DNA breathing dynamics of repeats and of highly G/C- or A/T-rich regions, even though such sequences are widespread in vertebrate genomes. Here, we extend the nonlinear Peyrard-Bishop-Dauxois (PBD) model of DNA to include a sequence-dependent stacking term, resulting in a model that can accurately describe the melting behavior of homogenous and periodic sequences. We collect melting data for several DNA oligos, and apply Monte Carlo simulations to establish force constants for the 10 dinucleotide steps (CG, CA, GC, AT, AG, AA, AC, TA, GG, TC). The experiments and numerical simulations confirm that the GG/CC dinucleotide stacking is remarkably unstable, compared with the stacking in GC/CG and CG/GC dinucleotide steps. The extended PBD model will facilitate thermodynamic and dynamic simulations of important genomic regions such as CpG islands and disease-related repeats.
机译:没有简单的模型可以准确地描述双链DNA的解链行为和呼吸动力学随核苷酸序列的变化。对于均质和周期性DNA序列尤其如此,其序列的融化温度与通过附加热力学贡献做出的预测相差很大。目前,尚无用于分析重复序列和高度富含G / C或A / T的区域的DNA呼吸动力学的方法,即使这种序列广泛分布在脊椎动物基因组中。在这里,我们扩展了DNA的非线性Peyrard-Bishop-Dauxois(PBD)模型,以包括依赖于序列的堆积项,从而形成了一个可以准确描述均质和周期性序列的解链行为的模型。我们收集了几个DNA寡核苷酸的解链数据,并应用蒙特卡洛模拟来建立10个二核苷酸步骤(CG,CA,GC,AT,AG,AA,AC,TA,GG,TC)的力常数。实验和数值模拟证实,与GC / CG和CG / GC二核苷酸步骤中的堆叠相比,GG / CC二核苷酸的堆叠非常不稳定。扩展的PBD模型将促进重要基因组区域(如CpG岛和疾病相关重复序列)的热力学和动态模拟。

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