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相关概念视频

Viral Mutations00:36

Viral Mutations

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A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Mutations01:39

Mutations

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Overview
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Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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Mismatch Repair01:20

Mismatch Repair

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Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
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Nonsense-mediated mRNA Decay02:27

Nonsense-mediated mRNA Decay

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The Upf proteins that carry out nonsense-mediated decay (NMD) are found in all eukaryotic organisms, including humans. Each protein has an individual role, but they need to work in collaboration. Upf1 is an ATP-dependent RNA helicase that unwinds the RNA helix. Because Upf1 can unwind any RNA, Upf2 and Upf3 are required to help Upf1 discriminate between nonsense and normal mRNAs.
Usually, Upf3 binds to an Exon Junction Complex (EJC) at mRNA splice sites. If a ribosome fully translates the mRNA,...
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In Vivo Modeling of the Morbid Human Genome using Danio rerio
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FDPSM:致病同义突变的特征驱动预测建模.

Fangfang Jin1, Na Cheng2, Lihua Wang1,3

  • 1Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei, Anhui 230601, China.

Journal of chemical information and modeling
|March 13, 2025
PubMed
概括

同名突变可以通过影响RNA过程引起疾病. 我们的新方法,FDPSM,使用多种特征和它们的相互作用准确预测致病同义突变,优于现有的工具.

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科学领域:

  • 基因组学就是基因组学.
  • 分子生物学分子生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 同义突变曾经被认为是中性的,但可以改变RNA拼接,稳定性和翻译效率,导致疾病.
  • 预测同名突变的致病性对于理解遗传疾病至关重要.
  • 现有的计算方法有局限性,包括数据稀缺性和依赖其他工具.

研究的目的:

  • 开发一种新的计算方法,FDPSM,用于预测致病同义突变.
  • 提高同名突变致病性预测的准确性和可靠性.

主要方法:

  • 在4251个阳性和阴性样本的大数据集上训练了FDPSM.
  • 利用了包括基因组上下文,保存,拼接,功能效应和表观遗传学在内的全面功能集.
  • 整合了功能交互和分布,以增强预测能力,避免依赖其他预测得分.

主要成果:

  • 与现有方法相比,FDPSM在预测同名突变致病性方面表现明显优越.
  • 该方法通过利用广泛的特征及其相互关系来提高预测准确度.

结论:

  • FDPSM为预测病原性同名突变提供了更准确,更可靠的工具.
  • 开发的方法解决了以前方法的局限性,特别是在处理特征相互关系方面.