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相关概念视频

Improving Translational Accuracy02:07

Improving Translational Accuracy

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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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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. 
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Nucleic Acid Structure01:25

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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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RNA editing is a post-transcriptional modification where a precursor mRNA (pre-mRNA) nucleotide sequence is changed by base insertion, deletion, or modification. The extent of RNA editing varies from a few hundred bases, in mitochondrial DNA of trypanosomes, to a just single base, in nuclear genes of mammals. Even a single base change in the pre-mRNA can convert a codon for one amino acid into the codon for another amino acid or a stop codon. This type of re-coding can significantly affect the...
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Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
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Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
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RNA Secondary Structure Prediction Using High-throughput SHAPE
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REDalign:使用剩余编码器-解码器网络进行精确的RNA结构对齐.

Chun-Chi Chen1, Yi-Ming Chan2, Hyundoo Jeong3

  • 1Department of Electrical Engineering, National Chiayi University, No.300 Xuefu Rd, Chiayi City, 600355, Taiwan. aky3100@mail.ncyu.edu.tw.

BMC bioinformatics
|November 5, 2024
PubMed
概括
此摘要是机器生成的。

REDalign是一种深度学习方法,可以实现精确的RNA二次结构对齐,并显著降低计算复杂度. 这一进步使得RNA结构的高效大规模分析成为可能,包括复杂的伪结.

关键词:
深度学习是一种深度学习.伪结结构结构 伪结结构RNA的二级结构是RNA的二级结构.剩余的编码器解码器网络编码器.结构调整 结构调整

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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.
  • 基因组学就是基因组学.

背景情况:

  • RNA的二次结构对齐是识别保存动机和理解新型RNA的关键.
  • 现有的计算方法面临着高度复杂性,限制了大规模的基因组分析.
  • 同时预测共识结构和RNA与未知结构的最佳对齐是计算密集的.

研究的目的:

  • 介绍REDalign,一种新的深度学习方法,用于高效的RNA二次结构对齐.
  • 解决传统RNA对齐方法中高计算复杂性的局限性.
  • 提高RNA结构对齐的准确性和效率,特别是对于复杂的结构.

主要方法:

  • 使用深度学习框架与剩余编码器解码器网络.
  • 在编码器中使用等级金字塔来捕捉高级结构特征.
  • 将剩余的跳过连接纳入解码器,以实现多层次的功能集成和详细的层次学习.

主要成果:

  • 与桑科夫式算法相比,REDalign显著降低了计算复杂性.
  • 该方法有效地处理非嵌套结构,包括具有挑战性的伪结.
  • 在广泛的评估中证明了卓越的准确性和实质性的计算效率.

结论:

  • 通过平衡精度和计算需求,REDalign推进了RNA二次结构对齐.
  • 它能够处理诸如伪结之类的复杂结构,这使得大规模的RNA分析更加容易.
  • 提供了加速RNA研究和比较基因组学的发现的潜力.