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相关概念视频

Structure of Porins01:21

Structure of Porins

3.0K
Mitochondria, chloroplasts, and gram-negative bacteria have transmembrane, beta-barrel proteins called porins to mediate the free diffusion of ions and metabolites across the membrane. Mitochondrial porin precursors contain conserved amino acid sequences called beta signals at their C-terminal. Beta signals have a  motif of PoXGXXHyXHy (Po-Polar, X-Any amino acid, G-Glycine, Hy-LargeHydrophobic), which are crucial for precursor recognition to initiate precursor assembly. Beta-barrel...
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Multi-pass Transmembrane Proteins and β-barrels01:09

Multi-pass Transmembrane Proteins and β-barrels

5.3K
In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
α-Helix containing multi-pass transmembrane proteins
Multi-pass transmembrane proteins such as...
5.3K
Protein Networks02:26

Protein Networks

3.9K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
3.9K
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.5K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
12.5K
Fluid Mosaic Model01:19

Fluid Mosaic Model

11.6K
Scientists identified the plasma membrane in the 1890s and its principal chemical components (lipids and proteins) by 1915. The model for plasma membrane structure, proposed in 1935 by Hugh Davson and James Danielli, was the first model to be widely accepted in the scientific community. The model was based on the plasma membrane's "railroad track" appearance in early electron micrographs. Davson and Danielli theorized that the plasma membrane's structure resembled a sandwich...
11.6K
Porin Insertion in the Outer Mitochondrial Membrane01:12

Porin Insertion in the Outer Mitochondrial Membrane

3.0K
Porins are beta-barrel proteins translocated to the mitochondrial outer membrane through the TOM complex into the intermembrane space. Porin precursors bind TIM chaperones within the intermembrane space and are guided to the Sorting and Assembly Machinery complex or SAM complex on the outer mitochondrial membrane.
Three models describe the assembly of porins by the SAM complex and their insertion into the outer membrane. Model 1 suggests that porins are assembled outside the SAM channel as the...
3.0K

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相关实验视频

Updated: Jun 28, 2025

Membrane Transport Processes Analyzed by a Highly Parallel Nanopore Chip System at Single Protein Resolution
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Membrane Transport Processes Analyzed by a Highly Parallel Nanopore Chip System at Single Protein Resolution

Published on: August 16, 2016

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用于识别毛孔形成蛋白的图形模型.

Nan Xu1, Theodore W Kahn2, Theju Jacob2

  • 1Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA.

Proteins
|April 15, 2024
PubMed
概括

本研究引入了一种新的图形模型,通过分析蛋白质结构来识别新型毛孔形成毒素 (PFT),克服了农业害虫控制应用的基于序列的方法的局限性.

科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 结构生物学 结构生物学
  • 计算生物学 计算生物学

背景情况:

  • 形成毛孔的毒素 (PFTs) 在细胞膜中形成毛孔,在农业中具有潜在的应用.
  • 目前用于发现新的PFT的方法依赖于序列同质性,无法识别具有较低序列相似性的新型蛋白质.
  • 识别新型PFT需要基于结构的方法,但有限的已知PFT结构阻碍了诸如深度学习之类的计算方法.

研究的目的:

  • 开发一种基于结构相似性识别新型孔形成毒素的计算方法,克服基于序列的方法的局限性.
  • 为了使生物技术应用,如农业害虫防治,能够发现具有低序列标识的新型PFT.

主要方法:

  • 使用共识二次结构开发了一个样本效率的图形模型,以构建蛋白质结构图.
  • 一个半马尔科夫条件随机场模型被用于蛋白质序列细分.
  • 创建了一个高效的框架来选UniRef50数据库 (4300万种蛋白质) 潜在的PFT候选人.

主要成果:

  • 拟议的方法成功地区分了结构相似的蛋白质,即使是低序列标识 (对称标识<0.4).
  • 这种结构方法超越了传统的方法,如隐藏的马尔科夫模型 (HMM) 在识别远距离相关的蛋白质.
  • 该框架有助于从大型基因组数据库中有效提取相关蛋白质.
关键词:
图形模型是一个图形模型.杀虫剂蛋白质是一种杀虫剂.蛋白质结构 蛋白质结构

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Last Updated: Jun 28, 2025

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结论:

  • 开发的图形模型和序列细分方法为发现基于结构特征的新型毛孔形成毒素提供了强大的工具.
  • 这种方法显著推进了超越序列同质性的PFTs的识别,为农业及其他领域的生物技术创新开辟了新的途径.