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相关概念视频

Non-LTR Retrotransposons03:18

Non-LTR Retrotransposons

12.5K
As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...
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In-situ Hybridization02:31

In-situ Hybridization

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In situ hybridization (ISH) is a technique used to detect and localize specific DNA or RNA molecules in cells, tissue, or tissue sections using a labeled probe. The technique was first used in 1969 for the investigation of nucleic acids. It is currently an essential tool in scientific research and clinical settings, especially for diagnostic purposes.
Types of probes and labels
A probe is a complementary strand of DNA or RNA that binds to corresponding nucleotide sequences in a cell. Many...
9.2K
Integrins01:10

Integrins

4.8K
Animal and protozoan cells do not have cell walls to help maintain shape and provide structural stability. Instead, these eukaryotic cells secrete a sticky mass of carbohydrates and proteins into the spaces between adjacent cells. This network of proteins and molecules is called an extracellular matrix or ECM.
Some ECM proteins assemble into a basement membrane to which the remaining components adhere. Proteoglycans typically form the bulk of the ECM while fibrous proteins, like collagen,...
4.8K
Activation of Integrins01:15

Activation of Integrins

4.4K
Integrins bind ligands and transmit information from outside the cell to inside or vice-versa through an "outside-in signaling" or "inside-out signaling."
In "outside-in signaling," external factors in the extracellular space bind to exposed ligand binding sites on integrins. This causes the inactive protein to undergo a conformational change to become active. Integrins are often clustered on the cell membrane. Repetitive and regularly spaced ligand binding...
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Tagging and Fusion Proteins01:24

Tagging and Fusion Proteins

6.4K
Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...
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Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)01:15

Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

1.2K
Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...
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相关实验视频

Updated: May 6, 2026

Identifying Protein-protein Interaction Sites Using Peptide Arrays
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Identifying Protein-protein Interaction Sites Using Peptide Arrays

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Int&in:基于机器学习的Web服务器,用于在intins中进行主动分站点识别.

Mirko Schmitz1,2,3, Jara Ballestin Ballestin1,2,4, Junsheng Liang1,2

  • 1BIOSS and CIBSS Research Signalling Centers, University of Freiburg, Freiburg, Germany.

Protein science : a publication of the Protein Society
|May 8, 2024
PubMed
概括
此摘要是机器生成的。

整蛋白是执行蛋白质拼接的蛋白质. 一个新的机器学习模型预测了整体中活跃和不活跃的分裂站点,有助于合成生物学应用中分割整体的工程.

关键词:
艾斯·艾斯 (Aes Aes) 是一个亚洲人.在CL中不存在.在 Npu DnaEE 中.gp41‐1‐1 的时间.机器学习是机器学习.蛋白质工程工程 蛋白质工程分为整数的整数.分拆站点预测预测

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Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

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Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library
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相关实验视频

Last Updated: May 6, 2026

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科学领域:

  • 生物化学 生物化学
  • 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:

  • 整因是蛋白质元素,可催化它们自身的切除和对侧蛋白质序列的结合 (蛋白质拼接).
  • 整体存在于连续或分割的形式;分割的整体需要两个片段来关联用于拼接.
  • 人工分裂的intins使合成生物学和蛋白质相互作用研究的新应用.

研究的目的:

  • 开发一个预测模型来识别活跃和不活跃的Intin分离站点.
  • 创建一个用户友好的Web服务器 (Int&in) 用于预测Intin分区网站.
  • 为了方便设计具有量身定制属性的新型分离整体.

主要方法:

  • 使用后勤回归的机器学习模型的开发.
  • 在126个从gp41-1,Npu DnaE和CL中分离的站点上训练模型.
  • 使用科学文献中的97个分区站点进行验证.
  • 包括蛋白质结构特征和序列保存数据.

主要成果:

  • 机器学习模型在预测活跃和不活跃的分割站点 (0.79培训,0.78测试) 中取得了高准确性.
  • Int&in 网络服务器提供了对互联网分区网站活动的准确预测.
  • 该模型展示了结构和序列信息用于预测整体行为的实用性.

结论:

  • Int&in 网络服务器准确地预测了分拆站点之间的信息,克服了启发式识别方法.
  • 这种工具将加速用于各种应用的分割整体的设计和工程.
  • 这些发现支持在蛋白质工程和合成生物学中使用机器学习.