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相关概念视频

Conserved Binding Sites01:49

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.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
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Protein Organization01:24

Protein Organization

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
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Protein Folding01:22

Protein Folding

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Overview
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Protein and Protein Structure02:15

Protein and Protein Structure

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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
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RNA Structure01:19

RNA Structure

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The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
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Transcription Factors02:16

Transcription Factors

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Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
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A Protocol for Computer-Based Protein Structure and Function Prediction
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使用蛋白质3D二次结构进行转录因子预测.

Jeanine Liebold1,2, Fabian Neuhaus1, Janina Geiser1

  • 1Institute for Computational Systems Biology, Universität Hamburg, Hamburg 22761, Germany.

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概括

本研究介绍了StrucTFactor,这是一种新的深度学习方法,用于使用3D蛋白质结构预测转录因子 (TF). StrucTFactor显著优于现有方法,提高了TF识别的准确性.

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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 结构生物学 结构生物学

背景情况:

  • 转录因子 (TFs) 通过与DNA结合来调节基因表达.
  • 传统的TF预测方法依赖于识别已知的DNA结合域 (DBDs),缺少新的TFs.
  • 基于序列的机器学习方法在捕获复杂的蛋白质信息方面存在局限性.

研究的目的:

  • 开发一种新的深度学习方法,用于准确的转录因子预测.
  • 为了利用3D蛋白质结构信息来改进TF识别.
  • 解决现有的TF预测方法的局限性,包括仅基于序列或已知的DBDs的方法.

主要方法:

  • 开发了StrucTFactor,这是一个使用3D蛋白质二次结构信息的深度学习模型.
  • 对比StrucTFactor与12个不同的数据集中的大型数据集 (约525,000种蛋白质) 上的最先进方法.
  • 评估性能考虑潜在的数据偏差,如序列冗余.

主要成果:

  • StrucTFactor显著优于现有的TF预测方法 (P值<0.001).
  • 通过马修斯相关系数测量,比最接近的竞争对手提高了17%的性能.
  • 证明了用于TF预测的3D结构特征的有效性.

结论:

  • StrucTFactor代表了转录因子预测准确性的重大进步.
  • 利用3D蛋白质结构信息对于识别新型转录因子至关重要.
  • 该方法提供了更好的性能和在生物研究中更广泛应用的潜力.