Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Protein Networks02:26

Protein Networks

4.0K
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,...
4.0K
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
Protein Organization01:24

Protein Organization

6.5K
Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
The primary structure of a protein is its amino acid sequence....
6.5K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Mutations in the N-domain of aryl hydrocarbon receptor interacting protein affect interactions with heat shock protein 90β and phosphodiesterase 4A5.

Biochimie·2024
Same author

Crystal structure and solution state of the C-terminal head region of the narmovirus receptor binding protein.

mBio·2023
Same author

Biophysical characterization of the structure of a SARS-CoV-2 self-amplifying RNA (saRNA) vaccine.

Biology methods & protocols·2023
Same author

DEER and RIDME Measurements of the Nitroxide-Spin Labelled Copper-Bound Amine Oxidase Homodimer from Arthrobacter Globiformis.

Applied magnetic resonance·2021
Same author

Design of a multipurpose sample cell holder for the Diamond Light Source high-throughput SAXS beamline B21.

Journal of synchrotron radiation·2021
Same author

Correction of the Neglected Clubfoot in the Adolescent and Adult Patient.

Foot and ankle clinics·2020

相关实验视频

Updated: Jul 10, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.7K

SKMT算法:用于评估和比较底层蛋白质纠的方法.

Arron Bale1, Robert Rambo2, Christopher Prior1

  • 1Department of Mathematical Sciences, Durham University, Durham, United Kingdom.

PLoS computational biology
|November 27, 2023
PubMed
概括

我们开发了一种新的方法来测量蛋白质纠,帮助灵活的结构比较. 这种方法使用平滑算法和拓测量来分析蛋白质折叠和预测结构.

科学领域:

  • 结构生物学是结构生物学.
  • 计算生物学是一种计算生物学.
  • 生物物理学的生物物理.

背景情况:

  • 蛋白质三级结构的比较具有挑战性,特别是对于灵活的蛋白质.
  • 现有的方法可能无法充分捕捉蛋白质折叠和纠的复杂性.
  • 拓测量在分析生物分子结构方面表现有前途.

研究的目的:

  • 开发和展示蛋白质三级结构纠的快速,简单的测量方法.
  • 为了实现高度灵活的结构比较.
  • 导出蛋白质纠及其与二次结构元素的关系的经验界限.

主要方法:

  • 利用SKMT算法将Cα脊柱平滑成一个最小复杂度曲线表示.
  • 基于写号和交叉号的应用措施,在DNA拓学中很常见.
  • 与二次结构元素的数量相对应的蛋白质纠的经验界限.

主要成果:

  • 确定了大规模的螺旋形几何作为蛋白质单体纠增长的主要贡献者.
  • 证明了这种螺旋形几何在各种蛋白质类型和序列中的普遍性.
  • 表明纠边界可以限制从小角度X射线散射数据的蛋白质结构预测.

更多相关视频

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K
Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry
07:33

Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry

Published on: October 15, 2018

14.3K

相关实验视频

Last Updated: Jul 10, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

68.7K
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K
Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry
07:33

Analyzing Protein Architectures and Protein-Ligand Complexes by Integrative Structural Mass Spectrometry

Published on: October 15, 2018

14.3K

结论:

  • 基于SKMT的纠测量对于灵活的蛋白质结构比较是有效的.
  • 纠分析提供了关于蛋白质折叠的见解,特别是螺旋结构的作用.
  • 开发的方法为蛋白质结构预测和比较提供了宝贵的工具,特别是对于溶液中的蛋白质.