利用生物学特征优化miRNA-mRNA关系预测。

Q4 Pharmacology, Toxicology and Pharmaceutics
Jasjit K Banwait, Hesham H Ali, Dhundy R Bastola
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引用次数: 4

摘要

microrna很小(约为。通过降解已经转录的信使rna (mRNA)或通过抑制mRNA的翻译从而抑制蛋白质产生来调节基因表达的非编码rna。这种通过miRNA结合靶mrna的3 '端非翻译区进行基因调控的机制是最近才被发现的。这种序列特异性的转录后基因调控过程影响了涉及许多生物学途径的大量基因。将7nt长的miRNA种子序列定位到靶基因已成为预测miRNA靶标的标准方法。在这项研究中,我们开发了一个基于基因组和结构信息的框架来丰富人类miRNA-mRNA的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimisation of miRNA-mRNA relationship prediction using biological features.

MicroRNAs are small (approx. 22nt) non-coding RNAs that regulate the expression of genes by either degrading messenger-RNA (mRNA) that has already been transcribed or by repressing the translation of mRNA, thus inhibiting protein production. This mechanism of gene regulation by binding of the miRNA to 3-prime-untranslated region of target mRNAs has been recently discovered. This sequence-specific post-transcriptional gene regulation process affects large set of genes involved in number of biological pathways. Mapping of 7nt long miRNA seed sequence to the target gene has been a standard way of predicting miRNA targets. In this study, we develop a framework to enrich the human miRNA-mRNA relationship based on genomic and structural information.

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来源期刊
International Journal of Computational Biology and Drug Design
International Journal of Computational Biology and Drug Design Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
1.00
自引率
0.00%
发文量
8
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