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The DNA Helix01:07

The DNA Helix

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Deoxyribonucleic acid, or DNA, is the genetic material responsible for passing traits from generation to generation in all organisms and most viruses. DNA is composed of two strands of nucleotides that wind around each other to form a spring-like structure called a double helix. However, the double helix is not perfectly symmetrical. Instead, there are regularly occurring grooves in the structure. The major groove occurs where the sugar-phosphate backbones are relatively far apart. This space...
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Nucleic Acid Structure01:25

Nucleic Acid Structure

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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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DNA as a Genetic Template02:05

DNA as a Genetic Template

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Two structural features of the DNA molecule provide a basis for the mechanisms of heredity: the four nucleotide bases and its double-stranded nature. The Watson-Crick model of double-helical DNA structure, proposed in 1952, drew heavily upon the X-ray crystallography work of researchers Rosalind Franklin and Maurice Wilkins. Watson, Crick, and Wilkins jointly received the Nobel Prize in Physiology or Medicine for their work in 1962. Franklin was, controversially, excluded from the prize for...
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相关实验视频

Updated: Jul 4, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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使用深度学习方法预测DNA结构.

Jinsen Li1, Tsu-Pei Chiu1, Remo Rohs2,3,4,5

  • 1Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, 90089, USA.

Nature communications
|February 9, 2024
PubMed
概括
此摘要是机器生成的。

深度DNAshape是一种新的深度学习方法,通过考虑侧边DNA序列,准确地预测DNA形状特征. 该工具增强了对蛋白质-DNA结合和基因调节的理解.

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科学领域:

  • 基因组学就是基因组学.
  • 结构生物学 结构生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 蛋白与DNA结合对于基因调节至关重要.
  • 三维DNA结构 (DNA形状) 显著影响这些结合机制.
  • 目前用于预测DNA形状的方法通常依赖k-mer方法,可能无法完全捕捉侧边区域的影响.

研究的目的:

  • 介绍Deep DNAshape,一种基于深度学习的方法,用于对DNA形状特征的高通量预测.
  • 在没有广泛的模拟的情况下,准确地解释延伸侧边区域对DNA形状的影响.
  • 提供关于侧边区域如何影响蛋白质-DNA结合机制的见解.

主要方法:

  • 开发了一个深度学习模型,Deep DNAshape,用于预测DNA结构特征.
  • 该方法本质上包含了延长侧边DNA序列的影响.
  • 评估了该方法预测DNA形状的能力及其对下游机器学习模型的影响.

主要成果:

  • 深度DNAshape准确地预测了DNA结构特征,考虑到延伸的侧边区域.
  • 该方法表明,侧边区域对DNA形状读出机制有定量影响.
  • 将深度DNAshape功能纳入机器学习模型,提高了预测准确度.

结论:

  • 深度DNAshape提供了一个强大的,高吞吐量工具,用于预测DNA形状和理解侧面序列的影响.
  • 这些发现为蛋白质-DNA结合的详细结构读取机制提供了宝贵的见解.
  • 这种方法可以广泛应用于基因组学和生物信息学中各种与DNA结构相关的研究.