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相关概念视频

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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Hybridoma Technology01:31

Hybridoma Technology

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Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
Hybridoma Selection
Commonly used fusion techniques — electroporation,...
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Leaky Scanning02:28

Leaky Scanning

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During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA.  Marilyn Kozak discovered that the sequence RCCAUGG (where R...
5.6K
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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Diversity of Antigen Receptors01:28

Diversity of Antigen Receptors

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Antigen receptors are essential components of the immune system crucial in defending the body against foreign invaders. These receptors are present on the surface of B and T cells, enabling them to recognize antigens and mount an appropriate immune response.
Before encountering any antigen, lymphocytes express these receptors. On B cells, the antigen receptor is a membrane-bound antibody molecule called BCR; on T cells, it is a T cell receptor or TCR. B and T cell receptors are composed of two...
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Point and Frameshift Mutations01:30

Point and Frameshift Mutations

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Point mutations are genetic alterations involving the change of a single nucleotide base pair in DNA. Depending on how the alteration affects protein synthesis, they can lead to various consequences.Point mutations fall into the following types:Silent mutations occur when a nucleotide change does not alter the amino acid sequence due to the redundancy of the genetic code. For instance, changing ACC to ACA still encodes threonine, leaving the protein function unaffected. This occurs because...
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相关实验视频

Updated: Jan 10, 2026

Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
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Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing

Published on: March 15, 2019

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在抗体语言模型中,将选择与突变分开.

Frederick A Matsen1,2,3,4, Will Dumm1, Kevin Sung1

  • 1Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, WA 98109.

bioRxiv : the preprint server for biology
|November 24, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了深度氨基酸选择模型 (DASM),以改善抗体功能预测. DASM将突变和选择过程分开,提高了抗体工程的准确性.

关键词:
亲缘关系成熟的成熟.抗体工程是针对抗体的工程.抗体语言模型模型功能预测的功能预测.突变选择模型的模型.身体上的超突变.

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Analysis of Somatic Hypermutation in the JH4 intron of Germinal Center B cells from Mouse Peyer's Patches
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相关实验视频

Last Updated: Jan 10, 2026

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科学领域:

  • 免疫学 免疫学 免疫学
  • 计算生物学 计算生物学
  • 蛋白质工程是指蛋白质工程.

背景情况:

  • 抗体通过V(D) J重组,突变和选择进化.
  • 目前的抗体语言模型侧重于氨基酸序列,隐式学习突变过程.
  • 这种隐式学习降低了预测突变功能影响的性能.

研究的目的:

  • 开发一种用于抗体语言建模的新框架,明确分离突变和选择.
  • 改善对抗体中氨基酸突变的功能影响的预测.
  • 为了创建一个更有效和可解释的抗体建模方法.

主要方法:

  • 设计了一个深度氨基酸选择模型 (DASM) 框架.
  • 显然排除了核酸水平突变过程.
  • 适合选择效应作为一个与突变过程独立的术语.

主要成果:

  • 在标准抗体功能基准测试中,DASM显著提高了性能.
  • 该模型仅量化突变的功能效应.
  • 获得了对抗体功能突变效应的改进预测.

结论:

  • 在抗体语言模型中分离突变和选择过程可以提高功能预测.
  • DASM为抗体工程提供了一种更准确,更有效的方法.
  • 该模型的可解释性有助于理解抗体的进化和功能.