Biozentrum, University of Basel, Basel, Switzerland.
Nat Methods. 2013 Mar;10(3):253-5. doi: 10.1038/nmeth.2341. Epub 2013 Jan 20.
We introduce a biophysical model of miRNA-target interaction and infer its parameters from Argonaute 2 cross-linking and immunoprecipitation data. We show that a substantial fraction of human miRNA target sites are noncanonical and that predicted target-site affinity correlates well with the extent of target destabilization. Our model provides a rigorous biophysical approach to miRNA target identification beyond ad hoc miRNA seed-based methods.
我们提出了一个 miRNA 与靶标相互作用的生物物理模型,并从 Argonaute 2 交联和免疫沉淀数据中推断其参数。我们表明,相当一部分人类 miRNA 靶标位点是非规范的,并且预测的靶标结合亲和力与靶标失稳的程度很好地相关。我们的模型为 miRNA 靶标识别提供了一种严格的生物物理方法,超越了基于 miRNA 种子的特定方法。