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Labeling DNA Probes03:31

Labeling DNA Probes

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DNA probes are fragments of DNA labeled with a reporter tag to enable their detection or purification. The resulting labeled DNA probes can then hybridize to target nucleic acid sequences through complementary base-pairing, and may be used to recover or identify these regions.
Radioisotopes, fluorophores, or small molecule binding partners like biotin or digoxigenin, are the most widely used reporter tags for labeling DNA probes. These labels can be attached to the probe DNA molecule via...
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The DNA Helix01:07

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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.
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Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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RNA Secondary Structure Prediction Using High-throughput SHAPE
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深度DNAshape:使用深度学习方法考虑扩展的侧边区域来预测DNA形状.

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    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. 这有助于对蛋白质-DNA结合和基因调节的理解,而不需要复杂的实验.

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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形状会影响这些结合机制.
    • 目前用于DNA形状预测的方法有局限性.

    研究的目的:

    • 介绍Deep DNAshape,这是一种用于高通量DNA形状预测的深度学习方法.
    • 考虑延长的侧边区域对DNA形状的影响.
    • 提高对蛋白质-DNA相互作用和基因调节的理解.

    主要方法:

    • 开发了一个名为Deep DNAshape的深度学习模型.
    • 通过分析延伸的侧翼区域来预测DNA形状特征.
    • 应用该方法来分析DNA序列,而无需进行广泛的模拟或实验.

    主要成果:

    • 深度DNAshape准确地预测了任何DNA序列长度的精细DNA形状特征.
    • 证明侧边区域,包括延长的区域,对DNA形状的读数有定量影响.
    • 在机器学习模型中使用Deep DNAshape功能时,展示了更好的预测准确性.

    结论:

    • 深度DNAshape为高通量DNA结构分析提供了一个强大的工具.
    • 提供了对蛋白质-DNA结合的结构性读取机制的见解.
    • 促进各种与DNA结构相关的研究,并增强基因调节研究.