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相关概念视频

piRNA - Piwi-interacting RNAs02:57

piRNA - Piwi-interacting RNAs

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PIWI-interacting RNAs, or piRNAs, are the most abundant short non-coding RNAs. More than 20,000 genes have been found in humans that code for piRNAs while only 2000 genes have been found for miRNAs. piRNAs can act at the transcriptional and post-transcriptional levels and have a vital role in silencing transposable elements present in germ cells. They are also involved in epigenetic silencing and activation. Previously, they were thought to function only in germ cells but new evidence suggests...
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Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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相关实验视频

Updated: May 21, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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PPDAMEGCN:根据多边缘类型图形卷积网络预测piRNA-疾病关联

Yinglong Peng1, Shuang Chu2, Xindi Huang2

  • 1School of Information and Intelligence, XiangXi Vocational and Technical College for Nationalities, Jishou, China.

IET systems biology
|March 22, 2025
PubMed
概括

这项研究介绍了PPDAMEGCN,这是一种用于预测Piwi相互作用RNA (piRNA) -疾病关联的新计算方法. 通过利用多边形类型的图形卷积网络,它提高了对理解这些关键生物联系的传统方法的准确性.

关键词:
关联 预测 预测 预测多边缘类型的图形卷积网络卷积网络.皮RNA与疾病的关联相似之处是相似之处.

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科学领域:

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

背景情况:

  • 皮维相互作用RNAs (piRNAs) 在生物过程中至关重要,并与人类疾病有关.
  • 现有的piRNA疾病关联预测计算方法存在局限性.
  • 传统的图形卷积网络 (GCN) 不会区分各种协会类型.

研究的目的:

  • 开发一种先进的计算方法来预测piRNA与疾病的关联.
  • 通过结合多边缘类型来解决现有GCN的局限性.
  • 为了提高识别已知和未知的piRNA-疾病关系的准确性.

主要方法:

  • 开发了PPDAMEGCN,一种多边缘类型的图形卷积网络模型.
  • 使用史密斯-沃特曼和GIP内核相似性计算了piRNA序列相似性.
  • 通过疾病本体学 (DO) 和GIP内核相似性计算疾病语义相似性.
  • 构建集成的piRNA和疾病相似性网络.
  • 使用异质的piRNA-疾病关联网络获得的嵌入和与MLP预测的关联.

主要成果:

  • 该PPDAMEGCN模型在预测piRNA与疾病的关联方面表现出卓越的表现.
  • 实验结果证实了与现有的预测技术相比,该方法的有效性.
  • 多边缘型GCN方法成功地捕获了来自不同类型协会的不同信号.

结论:

  • PPDAMEGCN在piRNA-疾病关联的计算预测方面取得了重大进展.
  • 多边缘型GCN框架对于分析复杂的生物网络是有效的.
  • 这种方法加快了潜在的piRNA疾病联系的识别,有助于生物医学研究.