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相关概念视频

Overview of Protein Sorting and Transport01:45

Overview of Protein Sorting and Transport

11.4K
Eukaryotic cells have different membrane-bound organelles with distinct protein requirements. The process by which proteins are targeted to a specific organelle is called protein sorting.
Protein sorting can be of two types: signal-based sorting and vesicle-based trafficking. In signal-based sorting, specific amino acid sequences called sorting signals target proteins to the proper location inside the cell either via gated transport or by protein translocation.  In gated transport, folded...
11.4K
Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

5.4K
Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
5.4K
Mitochondrial Protein Sorting01:39

Mitochondrial Protein Sorting

4.3K
Mitochondria are double-membrane organelles of the eukaryotes involved in cellular metabolism, signaling, ATP synthesis, and programmed cell death.  Each of these processes requires specific proteins and enzymes that must be correctly sorted to the right mitochondrial subcompartment for the proper functioning of the organelle.
Most of these mitochondrial proteins are encoded by the nucleus and imported to the mitochondria as unfolded or loosely folded precursors. Mitochondrial precursors...
4.3K
Nuclear Protein Sorting01:34

Nuclear Protein Sorting

4.6K
Nuclear protein sorting is the selective trafficking of histones, polymerases, gene regulatory proteins into the nucleus and exporting RNAs and ribosomes to the cytosol. It is a tightly controlled process that regulates gene expression within a cell.
Proteins targeted to the nucleus carry nuclear localization signals or NLS recognized by import receptors in the cytosol. Similarly, proteins with nuclear export signals are recognized by export receptors. Import and export receptors are...
4.6K
Regulation of Nuclear Protein Sorting01:45

Regulation of Nuclear Protein Sorting

2.4K
Nuclear protein sorting regulates nucleus composition and gene expression, crucial for determining the fate of a eukaryotic cell. Hence, the entry and exit of molecules across the nuclear envelope is a tightly controlled process. Nuclear protein sorting can be inhibited by one of the following ways: 1) masking cargo signal sequences, 2) modifying the nuclear receptor's affinity for cargo, 3) controlling the nuclear pore size, 4) retaining the cargo during its transit to the cytosol or the...
2.4K
Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
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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相关实验视频

Updated: Jul 11, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

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蛋白质排序预测的预测

Henrik Nielsen1

  • 1Department of Health Technology, Technical University of Denmark, Lyngby, Denmark. henni@dtu.dk.

Methods in molecular biology (Clifton, N.J.)
|November 6, 2023
PubMed
概括
此摘要是机器生成的。

本章介绍了细菌蛋白排序预测方法,将其分类为基于信号的,基于全球属性的和基于同质性的方法. 它详细介绍了每个蛋白质的优缺点,用于预测蛋白质的分泌和定位.

关键词:
机器学习是机器学习.预测 预测 预测蛋白质分类 蛋白质分类密封的分泌 密封的分泌亚细胞位置 亚细胞位置跨膜蛋白质是一种跨膜蛋白质.

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A Protocol for Computer-Based Protein Structure and Function Prediction
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Detection of Detergent-sensitive Interactions Between Membrane Proteins

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相关实验视频

Last Updated: Jul 11, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

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A Protocol for Computer-Based Protein Structure and Function Prediction
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Detection of Detergent-sensitive Interactions Between Membrane Proteins
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Detection of Detergent-sensitive Interactions Between Membrane Proteins

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科学领域:

  • 微生物学 微生物学
  • 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:

  • 有许多计算工具用于预测细菌蛋白质分类.
  • 了解这些方法对于分析蛋白质定位和功能至关重要.
  • 现有的方法在它们的基本原理和预测能力上有很大差异.

研究的目的:

  • 为细菌蛋白质排序预测提供用户级的计算方法介绍.
  • 将预测方法分为基于信号的,基于全球属性的和基于同质性的.
  • 阐明每个预测策略的优势和局限性.

主要方法:

  • 将预测方法分为三个基本方法的分类.
  • 描述基于信号的预测策略.
  • 解释基于全球属性和基于同质性的预测技术.

主要成果:

  • 基于信号的方法利用特定的序列特征进行预测.
  • 基于全球性质的方法分析了蛋白质的整体特征.
  • 基于同质性的方法利用来自相关蛋白质的信息.

结论:

  • 每种预测方法都有明显的优点和缺点.
  • 方法的选择取决于具体的预测任务 (分泌,膜整合,局部化).
  • 本概述旨在指导用户在选择适当的计算工具时使用最少的理论背景.