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相关概念视频

Protein Networks02:26

Protein Networks

4.1K
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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Phylogeny01:23

Phylogeny

47.6K
Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire kingdom.
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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.2K
Protein-protein Interfaces02:04

Protein-protein Interfaces

13.3K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
13.3K
Phylogenetic Trees03:21

Phylogenetic Trees

46.8K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
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Synthetic Biology02:55

Synthetic Biology

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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
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相关实验视频

Updated: Sep 14, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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植物Connectome:一个知识图数据库,包含超过71,000个植物文章.

Shan Chun Lim1, Manoj Itharajula1, Mads Harder Møller2

  • 1School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore 637551, Singapore.

The Plant cell
|July 23, 2025
PubMed
概括
此摘要是机器生成的。

研究人员使用人工智能 (AI) 分析了植物生物学文献,发现了数以百万计的基因和代谢物相互作用. 这种人工智能驱动的方法有助于科学家追踪植物科学中的功能关系.

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Last Updated: Sep 14, 2025

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A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

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A Web Tool for Generating High Quality Machine-readable Biological Pathways
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科学领域:

  • 植物生物学 植物生物学
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 了解基因代谢物网络对于植物发育和环境反应至关重要.
  • 越来越多的科学文献对保持对功能遗传学的最新了解提出了挑战.
  • 文本挖掘和大型语言模型 (LLM) 为文学分析提供了潜在的解决方案.

研究的目的:

  • 为了利用LLMs进行植物生物学摘要的文本挖掘,以确定功能关系.
  • 创建一个关于生物实体及其相互作用的全面数据库.
  • 帮助植物科学家在广的科学文献中进行导航.

主要方法:

  • 使用LLM文本挖掘功能处理了超过71,000份植物生物学摘要.
  • 识别和编目了生物实体 (基因,代谢物等) 之间的功能关系. ) 的情况.
  • 开发了PlantConnectome数据库来存储和呈现提取的信息.

主要成果:

  • 在240万个生物实体之间提取了近500万个功能关系.
  • 在识别这些关系方面取得了超过85%的高准确率.
  • 证明了数据库在分析基因调节网络,蛋白质-蛋白质相互作用和应激反应方面的实用性.

结论:

  • 人工智能驱动的文本挖掘可以有效处理大量的科学文献.
  • 植物Connectome数据库为植物功能网络提供了有价值的见解.
  • 这种方法有助于保持最新的植物生物学研究的进展.