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相关概念视频

Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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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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OmniPath:用于多omics分析的综合知识库.

Dénes Türei1, Jonathan Schaul1, Nicolàs Palacio-Escat1

  • 1Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg 69120, Germany.

Nucleic acids research
|November 18, 2025
PubMed
概括

OmniPath将来自168个资源的多样化分子知识集成到一个统一的数据库中. 本资源通过为机械模型提供可访问的先前知识来增强omics数据分析.

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科学领域:

  • 生物信息学是一种生物信息学.
  • 系统生物学 系统生物学
  • 计算生物学 计算生物学

背景情况:

  • 奥米克斯数据分析在很大程度上依赖于先前的生物知识.
  • 现有的知识资源往往是分散的,难以用于计算方法.

研究的目的:

  • 开发OmniPath,一个综合多种分子相互作用和生物分子信息的综合数据库.
  • 创建可访问的工具,包括OmniPath Explorer和客户端包,以利用这些知识进行omics分析.

主要方法:

  • 来自168个不同资源的综合数据,包括文献策划的交互,预测和大规模数据库.
  • 开发了OmniPath Explorer,具有用于交互式知识浏览的大型语言模型代理.
  • 创建了Python和R/Bioconductor客户端包以及一个Cytoscape插件,用于与omics分析环境无集成.

主要成果:

  • OmniPath巩固了因果蛋白-蛋白,基因调节,微RNA和酶-翻译后修饰相互作用.
  • 数据库包括关于细胞-细胞通信,蛋白质复合体和生物分子功能,定位和结构的信息.
  • OmniPath Explorer 和相关的软件包为omics研究提供了定制的先前知识检索.

结论:

  • OmniPath提供了一个统一的和可访问的资源,用于先前的生物知识,对于OMIC数据解释至关重要.
  • 开发的工具使集成的知识可用于机械和因果建模的应用,用于批量,单细胞和空间多omics数据分析.