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¹School of Information and Communications Technology, Hanoi University of Science and Technology, Hanoi 100000, Vietnam.

Biology methods & protocols

|September 8, 2025

概括

一种新的计算方法,即MiRNA疾病关联的多重异构网络 (MHMDA),可以准确地识别与疾病相关的微RNA (miRNA). 这一进步有助于精准医学,通过高准确度预测新的miRNA疾病联系.

科学领域:

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

背景情况:

微RNAs (miRNAs) 在疾病发病过程中至关重要,需要精准医学的准确识别.
目前用于预测miRNA-疾病关联的方法在捕捉复杂的生物关系方面存在局限性.

研究的目的:

开发和验证一种新的计算方法,用于预测与疾病相关的miRNAs的多重异构网络MiRNA疾病关联 (MHMDA),用于预测与疾病相关的miRNAs.
利用集成的miRNA功能相似性和疾病相似性网络来提高预测准确性.

主要方法:

构建了一个多重异质网络,集成多个miRNA功能相似性网络和疾病相似性网络.
采用量身定制的随机步行与重启算法来预测miRNA-疾病关联.
利用经过实验验证和预测的miRNA-目标相互作用,以及疾病的表型相似性.

主要成果:

在人类微RNA疾病数据库和miR2Disease数据集上,MHMDA在离开一次和5倍交叉验证方面取得了高绩效.
在接收器运行特征曲线 (AUC) 下获得的面积值为0.938和0.913,优于现有方法.
在各种参数变化和疾病环境中表现出强度和稳定性.

结论:

通过整合各种生物数据,MHMDA方法有效地预测疾病-miRNA关联.
多重异质网络方法提高了预测准确性,为识别新型疾病-miRNA链接提供了强大的工具.
MHMDA显示出在精密医学和了解疾病机制方面的应用潜力显著.

关键词:

根据MHMDA的方法.miRNA 的功能相似性 miRNA与疾病的关联多重异质的多重网络.随机步行与重启算法随机步行

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相关概念视频

MicroRNAs

MicroRNAs

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...

MicroRNAs

MicroRNAs

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...