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相关概念视频

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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相关实验视频

Updated: May 3, 2026

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
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采矿抗体功能通过人工智能引导的结构景观分析.

Stanislav S Terekhov1, Nikita V Ivanisenko2, Nan Zhang3

  • 1Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia.

Nature communications
|March 16, 2026
PubMed
概括
此摘要是机器生成的。

研究人员开发了一种人工智能工具RBD-AIM,将抗体序列与它们对SARS-CoV-2的中和功能联系起来. 这种方法加快了从大型数据集中发现强效治疗抗体的速度.

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Author Spotlight: Unveiling the Dynamics of Mechanical and Biochemical Signals in Animal Morphogenesis Research
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科学领域:

  • 免疫学 免疫学 免疫学
  • 生物信息学是一种生物信息学.
  • 人工智能的人工智能

背景情况:

  • 尽管单细胞查取得了进展,但对抗体 (Ab) 库的了解仍然很少.
  • 高通量测序产生了大量数据,为更深入了解 Ab 功能提供了潜力.

研究的目的:

  • 开发一种基于人工智能的方法,将抗体序列与它们对SARS-CoV-2的中和潜力联系起来.
  • 创建一个基于序列数据的抗体表位的高通量预测工具.
  • 分析B细胞谱的功能生物多样性.

主要方法:

  • 利用来自高通量测序和SARS-CoV-2流行病数据的大数据.
  • 采用机器学习来处理抗体受体结合域 (RBD) 复合体的3D结构数据.
  • 开发了RBD-AIM工具,用于从抗体序列预测结构性抗体表位.
  • 使用单细胞微流体和酵母显示器分析了原生和重建的B细胞目录.

主要成果:

  • 开发了一种基于人工智能的方法来预测抗体中和潜力.
  • 该RBD-AIM工具使得抗体表位的高通量预测.
  • 分析显示,疫苗接种后B细胞的功能生物多样性.
  • 该管道促进了在致命的SARS-CoV-2感染模型中保护小鼠的中和抗体的隔离.

结论:

  • 可以建立一个人工智能引导的序列功能链接来发现抗体.
  • 这种方法使得治疗抗体的高通量发现和功能分析成为可能.
  • 开发的管道加速了强大的中和抗体的识别.