Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Protein Organization01:13

Protein Organization

135.5K
Overview
135.5K
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
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

10.5K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
10.5K
Protein Folding01:22

Protein Folding

116.4K
Overview
116.4K
Next-generation Sequencing03:00

Next-generation Sequencing

86.0K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
86.0K
Sanger Sequencing01:57

Sanger Sequencing

750.9K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
750.9K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Highly Dissymmetric and Multicolor Circularly Polarized Organic Hyperafterglow.

Angewandte Chemie (International ed. in English)·2026
Same author

Macrophage INSIG1 deficiency drives psoriasiform dermatitis via the SREBP2-STAT1 axis.

Nature communications·2026
Same author

Towards the construction of a virtual yeast.

Nature·2026
Same author

Breaking Energy Density-Stress Trade-Off in Anode-Free Lithium Pouch Cells.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Integrated RNA-seq and network pharmacology analyses suggest PI3K-Akt and NF-κB pathway modulation in the protective effects of diosmin against experimental colitis.

Food & function·2026
Same author

Lipoprotein-associated phospholipase A2, fasting blood glucose, and granulocyte count for diagnosing coronary heart disease.

Biomarkers in medicine·2026
Same journal

K-attention: a biologically informed attention operator for data-efficient sequence-based omics modeling.

Briefings in bioinformatics·2026
Same journal

Accurate prediction of asparagine deamidation in biologics using advanced machine learning models.

Briefings in bioinformatics·2026
Same journal

scImmuneCo: a compendium of cell-type-specific functional modules for decoding immune responses from single-cell RNA-seq data.

Briefings in bioinformatics·2026
Same journal

scGenoByte: a GenoByte embedding transformer with biological priors for cell type annotation.

Briefings in bioinformatics·2026
Same journal

FerroScore: a statistical approach for quantifying tumor-related ferroptosis based on omics data.

Briefings in bioinformatics·2026
Same journal

METEOR: a data-adaptive Mendelian randomization method for powerful detection of shared and specific exposures underlying multiple outcomes.

Briefings in bioinformatics·2026
查看所有相关文章

相关实验视频

Updated: May 7, 2025

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

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

Published on: December 9, 2022

3.9K

R3设计:基于深层三级结构的RNA序列设计和超越.

Cheng Tan1,2, Yijie Zhang3,4, Zhangyang Gao2

  • 1Zhejiang University, Zhejiang, China.

Briefings in bioinformatics
|December 31, 2024
PubMed
概括
此摘要是机器生成的。

在序列设计中,R3Design优先考虑RNA的三级结构,大大提高了对传统方法的准确性. 这一进步有助于RNA疗法和生物学理解.

关键词:
这是一个RNARNARNARNARNA.人工智能的人工智能是人工智能.生物分子工程是生物分子工程.图形神经网络的神经网络相反的折叠方式

更多相关视频

Analyzing and Building Nucleic Acid Structures with 3DNA
16:24

Analyzing and Building Nucleic Acid Structures with 3DNA

Published on: April 26, 2013

20.4K
RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

31.3K

相关实验视频

Last Updated: May 7, 2025

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

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

Published on: December 9, 2022

3.9K
Analyzing and Building Nucleic Acid Structures with 3DNA
16:24

Analyzing and Building Nucleic Acid Structures with 3DNA

Published on: April 26, 2013

20.4K
RNA Secondary Structure Prediction Using High-throughput SHAPE
13:42

RNA Secondary Structure Prediction Using High-throughput SHAPE

Published on: May 31, 2013

31.3K

科学领域:

  • 分子生物学分子生物学
  • 生物技术是生物技术.
  • 计算生物学 计算生物学

背景情况:

  • 核糖核酸 (RNA) 的合理设计对于治疗和合成生物学至关重要.
  • 当前的方法往往忽略了关键的三级相互作用,主要关注二级结构.
  • 这种限制阻碍了基于RNA的复杂应用程序的开发.

研究的目的:

  • 介绍R3Design,一种基于三级结构的新型RNA序列设计方法.
  • 将范式从二级转变为三级结构中心的RNA设计.
  • 为特定的三级增强RNA序列设计的准确性和效率.

主要方法:

  • 开发了R3Design,这是一个基于三级结构的RNA序列设计算法.
  • 将R3设计应用于原生RNA骨干,重点关注三级相互作用.
  • 使用先进的结构预测模型验证设计的RNA序列.

主要成果:

  • R3Design显著改善了RNA序列设计,在数据集中实现了约44%的恢复和宏F1得分.
  • 该方法的表现远远优于传统的二次基于结构的方法.
  • 设计的RNA序列成功折叠成所需的三级结构,通过验证模型得到确认.

结论:

  • 通过优先考虑三级结构,R3Design为RNA序列设计提供了一种优越的方法.
  • 该方法显示出高精度和开发创新的RNA疗法的潜力.
  • 通过精确的三级结构设计,R3Design促进了RNA生物学的理解和应用.