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相关概念视频

The Proteasome01:13

The Proteasome

827
Eukaryotic cells can degrade proteins through several pathways. One of the most important among these is the ubiquitin-proteasome pathway. It helps the cell eliminate the misfolded, damaged, or unwarranted cytoplasmic proteins in a highly specific manner.
In this pathway, the target proteins are first tagged with small proteins called ubiquitin. This involves participation of a series of enzymes including— E1 (ubiquitin-activating enzyme), E2 (ubiquitin-conjugating enzyme), and E3...
827
Covalently Linked Protein Regulators02:04

Covalently Linked Protein Regulators

6.8K
Proteins can undergo many types of post-translational modifications, often in response to changes in their environment. These modifications play an important role in the function and stability of these proteins. Covalently linked molecules include functional groups, such as methyl, acetyl, and phosphate groups, and also small proteins, such as ubiquitin. There are around 200 different types of covalent regulators that have been identified.
These groups modify specific amino acids in a protein....
6.8K
Regulated Protein Degradation02:58

Regulated Protein Degradation

7.2K
It is vital to regulate the activity of enzymatic as well as non-enzymatic proteins inside the cell. This can be achieved either through creating a balance between their rate of synthesis and degradation or regulating the intrinsic activity of the protein. Both these regulation mechanisms play an essential role in the normal functioning of cells.
Protein degradation plays two important roles in the cells. It helps to protect cells from misfolded or damaged proteins before they lead to a...
7.2K
The Proteasome Structure01:17

The Proteasome Structure

730
The ubiquitin-proteasome pathway is a well-known mechanism utilized by eukaryotic cells to remove cytoplasmic proteins that are misfolded, damaged, or no longer needed. In this pathway, the protein that needs to be eliminated undergoes a process called ubiquitination, where a chain of ubiquitin molecules is attached to the 48th lysine residue of the target protein. This ubiquitin modification helps the proteasome distinguish between a target protein and a healthy protein.
The proteasome is an...
730

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相关实验视频

Updated: Jun 21, 2025

Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry
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Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry

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通过先进的机器学习技术,对ubiquitin蛋白进行预测建模.

Shazia1, Fath U Min Ullah2, Seungmin Rho3

  • 1Mardan College of Nursing, Bacha Khan Medical College, Mardan, Pakistan.

Heliyon
|July 8, 2024
PubMed
概括

这项研究引入了一种机器学习模型,用于精确的无处不在部位预测,这对于了解细胞功能和疾病至关重要. 该模型实现了高精度,超过了临床应用的现有方法.

关键词:
生物计算是生物计算.机器学习 机器学习翻译后修改 (PTM) 是一种方法.预测建模的预测建模.乌比奎蛋白质是一种蛋白质.

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Detection of Protein Ubiquitination
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相关实验视频

Last Updated: Jun 21, 2025

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Detection of Protein Ubiquitination Sites by Peptide Enrichment and Mass Spectrometry

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Profiling Ubiquitin and Ubiquitin-like Dependent Post-translational Modifications and Identification of Significant Alterations
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Detection of Protein Ubiquitination
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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:

  • 乌比基因化是一种重要的翻译后修饰,调节许多细胞过程.
  • 无素系统的失调与各种人类疾病有关.
  • 无处不在的动态性质给实验识别带来了挑战.

研究的目的:

  • 开发一个精确的机器学习模型来预测无处不在的网站.
  • 为了提高在基底蛋白中识别无化事件的准确性.

主要方法:

  • 从无处不在的数据中提取特征.
  • 使用机器学习方法进行分类.
  • 使用杰克刀测试和10倍交叉验证进行严格的评估.

主要成果:

  • 拟议的模型实现了非常高的准确性:数据集I的100%数据,数据集II的99.88%数据和数据集III的99.84%数据.
  • 杰克刀测试的准确性很高:在数据集I上为100%,在数据集II上为99.91%,在数据集III上为99.99%.
  • 与最先进的技术相比,该方法显示出更高的性能.

结论:

  • 开发的机器学习模型准确地识别了无处不在的网站.
  • 这一进步有助于了解疾病机制和开发临床疗法.
  • 该模型的性能超过了现有的无处不在地址预测方法.