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相关概念视频

MicroRNAs01:22

MicroRNAs

3.0K
MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...
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相关实验视频

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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
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BJLD-CMI:一个预测性circRNA-miRNA相互作用模型,结合了多角度特征信息.

Yi-Xin Zhao1, Chang-Qing Yu1, Li-Ping Li1,2

  • 1School of information Engineering, Xijing University, Xi'an, China.

Frontiers in genetics
|May 27, 2024
PubMed
概括

一个新的计算模型,BJLD-CMI,准确地预测了循环RNA (circRNA) 和微RNA (miRNA) 相互作用. 这种方法通过有效地识别潜在的circRNA-miRNA相互作用来加速疾病研究.

关键词:
自动编码器自动编码器环RNA 环RNA 是一个环RNA.环RNA-miRNA相互作用图形嵌入 图形嵌入.这是一个小RNARNA.

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科学领域:

  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.
  • 计算生物学 计算生物学

背景情况:

  • 循环RNAs (circRNAs) 通过microRNA (miRNA) 结合,在人类疾病的发病过程中发挥作用.
  • 识别circRNA-miRNA相互作用对于疾病诊断和治疗至关重要.
  • 传统的湿实验室实验来识别这些相互作用是耗时且规模有限的.

研究的目的:

  • 开发一个有效的计算模型来预测circRNA-miRNA相互作用.
  • 克服传统实验方法的局限性.

主要方法:

  • BJLD-CMI模型使用Jaccard和Bert的方法从circRNA和miRNA中提取序列特征.
  • 它整合了这些特征以获得circRNA-miRNA (CMI) 属性特征.
  • 图形嵌入 (Line) 提取CMI行为特征,自动编码器网络将属性和行为特征用于预测.

主要成果:

  • BJLD-CMI实现了高ROC曲线面积 (94.95%在CMI-9589上,90.69%在CMI-9905上).
  • 与现有方法相比,该模型表现出优越的性能.
  • 一个案例研究通过PubMed搜索证实了前10个预测互动中的7个.

结论:

  • BJLD-CMI是一种有效的计算工具,用于预测circRNA-miRNA相互作用.
  • 该模型可以显著帮助生物湿实验,并减少研究负担.
  • 它为推进复杂人类疾病研究提供了一种有价值的方法.