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相关概念视频

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ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
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Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
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相关实验视频

Updated: Jun 25, 2025

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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多尺度的Ernwin/SPQRRNA结构预测管道

Bernhard C Thiel1, Simón Poblete2,3,4, Ivo L Hofacker5,6

  • 1Department of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.

Methods in molecular biology (Clifton, N.J.)
|May 23, 2024
PubMed
概括
此摘要是机器生成的。

预测长非编码RNAs (lncRNAs) 的3D结构具有挑战性. 这项研究提出了一种多尺度计算方法,将实验数据结合起来,准确地建模lncRNA结构.

关键词:
粗谷物 粗谷物是一种粗谷物.多尺度建模的多尺度建模结构 RNA 结构 RNA 结构萨克斯 (SAXS) 的时间结构预测结构预测

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科学领域:

  • 生物化学 生物化学
  • 计算生物学 计算生物学
  • 结构生物学 结构生物学

背景情况:

  • RNA分子在蛋白质合成之外执行各种生物功能,这些功能是由它们的3D结构决定的.
  • 从序列中预测RNA结构至关重要,但具有挑战性,特别是对于长非编码RNA (lncRNAs).
  • 现有的计算工具与lncRNAs (>200核酸) 的复杂性和大小作斗争.

研究的目的:

  • 开发和描述一种新的多尺度计算方法,用于预测lncRNAs的3D结构.
  • 将实验数据,特别是SAXS (小角度X射线散射) 整合到结构预测工作流程中.
  • 通过使用特定的lncRNA,Braveheart.来完善和验证拟议的方法.

主要方法:

  • 采用了一个分层的,多尺度的建模策略.
  • 该方法将两个粗粒度模型结合在一起:Ernwin (基于螺旋体的,全局排列) 和SPQR (以核酸为中心的,精细化).
  • 纳入了SAXS和二次结构实验数据,以指导和完善结构预测.

主要成果:

  • 该方法成功地用于预测Braveheart lncRNA的结构.
  • 多尺度方法,整合实验数据,产生了精致的全原子结构.
  • 这项研究证明了精确建模复杂的lncRNA结构的可行性.

结论:

  • 描述的多尺度方法通过将计算建模与实验数据相结合,有效地预测lncRNA结构.
  • 这种方法解决了因lncRNAs的大小和复杂性所带来的挑战.
  • 精细的Braveheart lncRNA的全原子结构可以作为拟议技术的验证.