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相关概念视频

Intrinsically Disordered Proteins02:18

Intrinsically Disordered Proteins

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Intrinsically disordered proteins are a group of proteins that do not fold into specific three-dimensional structures. Their structural flexibility allows them to complement ordered proteins to perform functions that are inaccessible to rigid structures. They are more common in eukaryotes than prokaryotes and may either be exclusively intrinsically disordered or hybrid proteins, consisting of a mix of ordered and disordered regions. The absence of a rigid structure in these proteins can be...
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Intrinsically Disordered Proteins02:18

Intrinsically Disordered Proteins

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RNA Interference01:23

RNA Interference

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RNA interference (RNAi) is a process in which a small non-coding RNA molecule blocks the post-transcriptional expression of a gene by binding to its messenger RNA (mRNA) and preventing the protein from being translated.
This process occurs naturally in cells, often through the activity of genomically-encoded microRNAs. Researchers can take advantage of this mechanism by introducing synthetic RNAs to deactivate specific genes for research or therapeutic purposes. For example, RNAi could be used...
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Interference and Diffraction02:18

Interference and Diffraction

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Interference is a characteristic phenomenon exhibited by waves. When two electromagnetic waves interact with their peaks and troughs coinciding, a resulting wave with enhanced amplitude is produced. This is known as constructive interference. In this case, the two waves interacting are in phase with each other.
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Conserved Binding Sites01:49

Conserved Binding Sites

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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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The Eukaryotic Promoter Region02:40

The Eukaryotic Promoter Region

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The eukaryotic promoter region is a segment of DNA located upstream of a gene. It contains an RNA polymerase binding site, a transcription start site, and several cis-regulatory sequences.  The proximal promoter region is located in the vicinity of the gene and has cis-regulatory sequences and the core promoter. The core promoter is the binding site for RNA polymerase and is usually located between -35 and +35 nucleotides from the transcription start site. The distal promoter regions are...
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相关实验视频

Updated: Jan 24, 2026

Author Spotlight: Unlocking the World of Intrinsically Disordered Regions with Cellular Sensing and Responses
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Author Spotlight: Unlocking the World of Intrinsically Disordered Regions with Cellular Sensing and Responses

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一个预测的结构互动体揭示了来自内在无序区域的结合干扰.

Junhui Peng1, Li Zhao1

  • 1Laboratory of Evolutionary Genetics and Genomics, The Rockefeller University, New York, New York, United States of America.

PLoS computational biology
|January 22, 2026
PubMed
概括
此摘要是机器生成的。

这项研究使用AlphaFold2预测了Drosophila蛋白-蛋白相互作用,发现功能数据和内在无序区域是准确建模的关键. 有一个交互式的网络工具可用于进一步的研究.

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Analysis of AtHIRD11 Intrinsic Disorder and Binding Towards Metal Ions by Capillary Gel Electrophoresis and Affinity Capillary Electrophoresis
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Paramagnetic Relaxation Enhancement for Detecting and Characterizing Self-Associations of Intrinsically Disordered Proteins
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相关实验视频

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Analysis of AtHIRD11 Intrinsic Disorder and Binding Towards Metal Ions by Capillary Gel Electrophoresis and Affinity Capillary Electrophoresis
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Paramagnetic Relaxation Enhancement for Detecting and Characterizing Self-Associations of Intrinsically Disordered Proteins
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科学领域:

  • 结构生物学是结构生物学.
  • 计算生物学是一种计算生物学.
  • 基因组学就是基因组学.

背景情况:

  • 蛋白与蛋白相互作用 (PPI) 对细胞功能至关重要,形成复杂的网络.
  • 高通量方法有助于提高PPI的理解,但分子细节,特别是像Drosophila这样的非哺乳动物物种的分子细节,仍然没有很好的特征.
  • 深度学习的进步使得细胞通路中的分子细节可以在网络层面进行预测.

研究的目的:

  • 用AlphaFold2多重体来预测和检查Drosophila中的蛋白质-蛋白质相互作用.
  • 评估物理和功能数据集对预测准确性的贡献.
  • 调查内在无序区域在高可信度PPI预测中的作用.

主要方法:

  • 使用AlphaFold2多重体来预测Drosophila中的蛋白质-蛋白质相互作用.
  • 整合了物理和功能互动数据集.
  • 对预测的复合体进行了详细的结构分析,重点关注内在无序的区域.

主要成果:

  • 功能关联显著提高了预测的蛋白质-蛋白质相互作用的信心.
  • 本质上有障碍的区域被确定为高可信度预测相互作用中的重要区域.
  • 开发了一个交互式网页界面,以可视化和探索预测的Drosophila交互体.

结论:

  • 整合功能相互作用数据可以提高预测物理蛋白质与蛋白质相互作用的准确性.
  • 本质上混乱的区域在调解蛋白质-蛋白质相互作用方面发挥着重要作用.
  • 开发的网页界面有助于进一步研究果虫蛋白相互作用和假设生成.