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Accurate prediction of human miRNA targets via graph modeling of miRNA-target duplex

机译:通过miRNA-靶标双链体的图形建模准确预测人类miRNA靶标

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miRNAs are short sequences involved in regulating many critical cell activities such as proliferation, differentiation, cell death, growth control and developmental timing. To function, miRNAs bind to certain target locations in mRNAs that they regulate. There is a lack of experimental data about the tertiary structure of miRNAtarget binding duplexes. Correlations of nucleotides in the binding duplexes, not limited to canonical Watson Crick and the wobble base pairs, may carry information about how the bindings occur, especially where the targets are in the mRNAs. In this work, we modeled miRNA binding duplexes with a weighted bipartite graph, called a Correlation Graph, to capture the correlation between pairs of nucleotides appearing on a miRNA and its target sequences.
机译:miRNA是短序列,参与调控许多关键的细胞活动,例如增殖,分化,细胞死亡,生长控制和发育时机。为了发挥功能,miRNA与它们调节的mRNA中的某些靶标位置结合。缺乏有关miRNAtarget结合双链体的三级结构的实验数据。结合双链体中核苷酸的相关性(不限于经典的沃森克里克和摆动碱基对)可能携带有关结合如何发生的信息,尤其是靶标在mRNA中的位置。在这项工作中,我们用加权的二分图(称为相关图)对miRNA结合双链体进行建模,以捕获miRNA上出现的核苷酸对及其靶序列之间的相关性。

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