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相关概念视频

RNA Structure01:19

RNA Structure

4.5K
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...
4.5K
RNA Stability01:53

RNA Stability

33.1K
Intact DNA strands can be found in fossils, while scientists sometimes struggle to keep RNA intact under laboratory conditions. The structural variations between RNA and DNA underlie the differences in their stability and longevity. Because DNA is double-stranded, it is inherently more stable. The single-stranded structure of RNA is less stable but also more flexible and can form weak internal bonds. Additionally, most RNAs in the cell are relatively short, while DNA can be up to 250 million...
33.1K
Nucleic Acid Structure01:25

Nucleic Acid Structure

5.9K
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...
5.9K
Leaky Scanning02:28

Leaky Scanning

5.0K
During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.0K
Protein Folding Quality Check in the RER01:29

Protein Folding Quality Check in the RER

3.6K
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...
3.6K
Nucleic Acids02:43

Nucleic Acids

43.1K
Nucleic acids are the most important macromolecules for the continuity of life. They carry the cell's genetic blueprint and carry instructions for its functioning.
DNA and RNA
The two main types of nucleic acids are deoxyribonucleic acid (DNA) and ribonucleic acid (RNA). DNA is the genetic material in all living organisms, ranging from single-celled bacteria to multicellular mammals. It is in the nucleus of eukaryotes and in the organelles, chloroplasts, and mitochondria. In prokaryotes,...
43.1K

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相关实验视频

Updated: May 15, 2025

RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

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转换器在RNA结构预测中的作用:一篇综述

Mayank Chaturvedi1, Mahmood A Rashid1, Kuldip K Paliwal1

  • 1Signal Processing Laboratory, School of Engineering and Built Environment, Griffith University, Brisbane, QLD, 4111, Australia.

Computational and structural biotechnology journal
|April 11, 2025
PubMed
概括

使用自我注意的变压器模型正在推进RNA结构预测. 本综述详细介绍了这些深度学习网络,它们的创新,以及预测RNA二级和三级结构的未来方向.

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.
  • 机器学习 机器学习

背景情况:

  • 变压器架构最初是用于自然语言处理,但在顺序数据方面表现出色.
  • RNA的核酸序列形成了它的结构,使其适合用于变压器应用.
  • 像变压器这样的深度学习模型越来越多地用于RNA结构预测.

研究的目的:

  • 审查基于转换器的RNA结构预测模型.
  • 分析建筑创新和性能改进.
  • 确定当前的局限性和未来的研究途径.

主要方法:

  • 对RNA结构预测中的变压器应用现有文献的综述.
  • 深入分析变压器模型架构.
  • 对变压器性能与其他深度学习方法进行比较评估.

主要成果:

  • 变压器模型在RNA结构预测方面表现出竞争力或优异的性能.
  • 变压器中的建筑创新有助于提高预测准确度.
  • 在基于转换器的RNA预测中确定了改进和未来发展的领域.

结论:

关键词:
深度学习是一种深度学习.预测RNA结构 预测RNA结构专注于自己的注意力变压器 变压器 变压器

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Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

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Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
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  • 变压器模型代表了RNA结构预测的重大进步.
  • 预计变压器技术的持续发展将带来进一步的突破.
  • 本综述为未来研究提供了全面的概述和路线图.