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相关概念视频

RNA-seq03:21

RNA-seq

12.2K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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RNA Structure01:19

RNA Structure

7.8K
The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
7.8K
RNA Structure01:23

RNA Structure

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Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
79.3K
Protein Folding Quality Check in the RER01:29

Protein Folding Quality Check in the RER

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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...
5.3K
Ribosome Profiling02:24

Ribosome Profiling

4.2K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
4.2K
Improving Translational Accuracy02:07

Improving Translational Accuracy

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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相关实验视频

Updated: Feb 19, 2026

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

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DRfold2是一个基于深度学习的工具,可以有效和准确地预测RNA结构.

Yang Li1, Chenjie Feng2, Xi Zhang3

  • 1Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.

PLoS biology
|February 17, 2026
PubMed
概括

一个新的深度学习工具DRfold2准确地从单独的序列中预测RNA结构. 它通过显著提高结构预测准确性来增强RNA向治疗方法.

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RNA Secondary Structure Prediction Using High-throughput SHAPE
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RNA Secondary Structure Prediction Using High-throughput SHAPE

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Analyzing and Building Nucleic Acid Structures with 3DNA
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Analyzing and Building Nucleic Acid Structures with 3DNA

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相关实验视频

Last Updated: Feb 19, 2026

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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

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RNA Secondary Structure Prediction Using High-throughput SHAPE
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科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 分子生物学分子生物学

背景情况:

  • 准确的RNA结构预测对于理解生物作用和开发基于RNA的疗法至关重要.
  • 仅从序列中预测RNA结构仍然是一个重大的计算挑战.

研究的目的:

  • 介绍DRfold2,一个用于从单个序列进行端到端RNA结构预测的深度学习框架.
  • 评估DRfold2的性能与预测全球拓和次要结构的最先进方法相比.

主要方法:

  • DRfold2集成了一个预先训练的RNA复合语言模型 (RCLM) 与一个排斥结构模块.
  • 该框架利用深度学习进行端到端预测和深度学习引导的后期优化.
  • 通过使用多个测试集,在各种物种中对性能进行了基准测试.

主要成果:

  • 与现有方法相比,DRfold2在全球拓和二次结构预测方面表现出卓越的表现.
  • RNA复合语言模型捕获了共同进化的模式,而无声化模块则提高了超过100%的接触预测精度.
  • 当与AlphaFold3.3集成时,DRfold2显示出显著的准确性改善.

结论:

  • DRfold2通过结合复合语言建模和基于denoising的端到端学习来推进ab initioRNA结构预测.
  • 该框架提供了一种用于从序列中准确预测RNA结构的新方法.
  • DRfold2有望加速RNA向疗法的发展.