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相关概念视频

RNA-seq03:21

RNA-seq

11.7K
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

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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...
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RNA Structure01:23

RNA Structure

78.7K
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...
78.7K
Improving Translational Accuracy02:07

Improving Translational Accuracy

14.1K
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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Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

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Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
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Nucleic Acid Structure01:25

Nucleic Acid Structure

8.4K
The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA...
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Updated: Jan 15, 2026

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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迪纳RNA:精确的动态RNA形态组合生成与扩散模型.

Zhengxin Li1, Junjie Zhu1, Xiaokun Hong2

  • 1State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, National Experimental Teaching Center for Life Sciences and Biotechnology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.

Communications biology
|October 15, 2025
PubMed
概括

新的生成模型DynaRNA有效地预测RNA结构和动态. 这种计算工具通过快速探索RNA结构空间来帮助RNA结构生物学和治疗开发.

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科学领域:

  • 结构生物学 结构生物学
  • 计算生物学 计算生物学
  • 生物物理学的生物物理.

背景情况:

  • 非编码RNAs (ncRNAs) 对于各种生物功能至关重要,它们的动态结构调解这些作用.
  • 鉴定RNA结构动态的传统方法,包括实验技术和分子动态 (MD) 模拟,由于成本和方法的限制.
  • 了解RNA动态对于各种生物过程和治疗开发至关重要.

研究的目的:

  • 介绍DynaRNA,一种基于扩散的新型生成模型,用于预测RNA构成组合.
  • 为了快速准确地探索RNA构造空间.
  • 为RNA结构生物学提供一个互补的计算工具.

主要方法:

  • 迪纳RNA使用了与等价图神经网络 (EGNN) 集成的无声扩散概率模型 (DDPM).
  • 该模型直接学习RNA的3D坐标,从而实现端到端生成构造组合.
  • 它不需要多次序对齐 (MSA) 信息来生成实验几何.

主要成果:

  • 迪纳RNA精确地生成RNA构成组合,包括一个四核酸组合,其间隔率低于MD模拟.
  • 该模型成功地捕获了罕见的兴奋状态,例如HIV-1转激活反应 (TAR) 元素.
  • 迪纳RNA可以重复四叶草的新折叠.

结论:

  • 迪纳RNA是一个高效和多功能平台,用于模拟RNA结构动态.
  • 它是MD模拟等现有方法的宝贵补充工具.
  • 该模型对RNA结构生物学,合成生物学和治疗开发有广泛的影响.