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相关概念视频

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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Cis-regulatory Sequences02:02

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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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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.
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Conserved Binding Sites

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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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iEnhancer-Flow:集成基于变压器的序列学习与DNA形状洞察力,实现强大的增强器预测.

Huan Liu1, Hanyu Luo1,2, Lingyun Luo3

  • 1School of Computer Science, University of South China, Hengyang, 421001, China.

Interdisciplinary sciences, computational life sciences
|November 24, 2025
PubMed
概括

预测增强剂对于基因调节至关重要,通过iEnhancer-Flow得到改善. 这种新的方法整合了DNA序列和形状,优于现有的模型,以更好地理解基因组背景.

关键词:
的 DNA 序列.深度学习是一种深度学习.增强器 增强器 增强器多模式学习是多模式学习.

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科学领域:

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

背景情况:

  • 增强剂是基因组中重要的非编码调控元素.
  • 由于序列的可变性和缺乏明确的动机,预测增强剂具有挑战性.
  • 现有的仅序列模型在捕捉监管复杂性方面存在局限性.

研究的目的:

  • 开发一个新的框架,iEnhancer-Flow,用于增强增强器分类.
  • 整合DNA序列和形状特征,以提高预测准确度.
  • 在不同的基因组环境中克服仅序列模型的局限性.

主要方法:

  • 提出了iEnhancer-Flow,一个双分支模型,将DNABERT-2用于序列和CNN用于DNA形状.
  • 利用中心差异技术捕获局部DNA形状变异.
  • 采用流动注意力机制来融合序列和形状特征,然后进行MLP分类.

主要成果:

  • 在增强器预测方面,iEnhancer-Flow在竞争方法中表现优越.
  • 在多个细胞系中实现了平衡精度 (Bacc) 和马修斯相关系数 (MCC) 的显著改进.
  • 在各种生物环境中表现出稳定性和稳健性,在八个细胞系中的六个细胞系中表现优于其他模型.

结论:

  • 整合DNA序列和形状特征代表了增强器预测的重大进步.
  • iEnhancer-Flow捕获了超越单独序列的互补调节信号.
  • 包括序列和结构DNA语境在内的全面观点对于理解基因组调节至关重要.