Institute of Molecular Oncology, Biomedical Sciences Research Center Alexander Fleming, Vari, Greece.
BMC Bioinformatics. 2009 Sep 18;10:295. doi: 10.1186/1471-2105-10-295.
MicroRNAs are small endogenously expressed non-coding RNA molecules that regulate target gene expression through translation repression or messenger RNA degradation. MicroRNA regulation is performed through pairing of the microRNA to sites in the messenger RNA of protein coding genes. Since experimental identification of miRNA target genes poses difficulties, computational microRNA target prediction is one of the key means in deciphering the role of microRNAs in development and disease.
DIANA-microT 3.0 is an algorithm for microRNA target prediction which is based on several parameters calculated individually for each microRNA and combines conserved and non-conserved microRNA recognition elements into a final prediction score, which correlates with protein production fold change. Specifically, for each predicted interaction the program reports a signal to noise ratio and a precision score which can be used as an indication of the false positive rate of the prediction.
Recently, several computational target prediction programs were benchmarked based on a set of microRNA target genes identified by the pSILAC method. In this assessment DIANA-microT 3.0 was found to achieve the highest precision among the most widely used microRNA target prediction programs reaching approximately 66%. The DIANA-microT 3.0 prediction results are available online in a user friendly web server at http://www.microrna.gr/microT.
microRNA 是内源性表达的小非编码 RNA 分子，通过翻译抑制或信使 RNA 降解来调节靶基因表达。microRNA 的调节是通过 microRNA 与蛋白质编码基因的信使 RNA 中的靶位点配对来实现的。由于实验鉴定 miRNA 靶基因存在困难，因此计算 microRNA 靶预测是破译 microRNA 在发育和疾病中的作用的关键手段之一。
DIANA-microT 3.0 是一种 microRNA 靶预测算法，它基于为每个 microRNA 单独计算的几个参数，并将保守和非保守的 microRNA 识别元件组合成一个最终的预测分数，该分数与蛋白质产量变化倍数相关。具体来说，对于每个预测的相互作用，该程序报告一个信噪比和一个精度分数，可作为预测假阳性率的指示。
最近，根据 pSILAC 方法鉴定的一组 microRNA 靶基因，对几种计算靶预测程序进行了基准测试。在这项评估中，DIANA-microT 3.0 在最广泛使用的 microRNA 靶预测程序中达到了最高的精度，约为 66%。DIANA-microT 3.0 的预测结果可在用户友好的在线网络服务器 http://www.microrna.gr/microT 上获得。
