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 Folding Quality Check in the RER01:29

Protein Folding Quality Check in the RER

3.7K
ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
3.7K
Protein Folding01:22

Protein Folding

118.4K
Overview
118.4K
Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

2.3K
2.3K
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...
4.2K

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

Special Topics: Developments of Theoretical and Computational Chemistry Methods in Asia.

Journal of chemical theory and computation·2026
Same author

MAHLER: Integrating Metadynamics and Inverse Folding to Predict Antibody-Antigen Kinetics.

bioRxiv : the preprint server for biology·2026
Same author

Detecting and quantifying overparametrization in RNA language models with REDIAL.

bioRxiv : the preprint server for biology·2026
Same author

Advancing Reproducibility and Open Data in Theoretical and Computational Chemistry.

Journal of chemical theory and computation·2026
Same author

Machine learning for biomolecular modeling.

The Journal of chemical physics·2026
Same author

Machine Learning Driven Advances in Molecular Dynamics of Bulk and Interfacial Aqueous Systems.

Chemical reviews·2026

相关实验视频

Updated: Jul 16, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

15.5K

使用AlphaFold2-RAVE探索酶DFG循环的结构稳定性

Bodhi P Vani1, Akashnathan Aranganathan2, Pratyush Tiwary3

  • 1Institute for Physical Science and Technology, University of Maryland, College Park, Maryland 20742, USA.

ArXiv
|September 21, 2023
PubMed
概括

这项研究表明AlphaFold2-RAVE可以预测小序列变化如何影响酶蛋白的稳定性. 这有助于通过探索蛋白质构造来开发向的癌症药物.

更多相关视频

Assessment of Immunologically Relevant Dynamic Tertiary Structural Features of the HIV-1 V3 Loop Crown R2 Sequence by ab initio Folding
10:50

Assessment of Immunologically Relevant Dynamic Tertiary Structural Features of the HIV-1 V3 Loop Crown R2 Sequence by ab initio Folding

Published on: September 15, 2010

9.7K
Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation
15:05

Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation

Published on: May 20, 2020

8.7K

相关实验视频

Last Updated: Jul 16, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

15.5K
Assessment of Immunologically Relevant Dynamic Tertiary Structural Features of the HIV-1 V3 Loop Crown R2 Sequence by ab initio Folding
10:50

Assessment of Immunologically Relevant Dynamic Tertiary Structural Features of the HIV-1 V3 Loop Crown R2 Sequence by ab initio Folding

Published on: September 15, 2010

9.7K
Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation
15:05

Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation

Published on: May 20, 2020

8.7K

科学领域:

  • 生物化学 生物化学
  • 结构生物学 结构生物学
  • 计算生物学 计算生物学

背景情况:

  • 激酶是人类关键蛋白质,但它们的功能障碍导致癌症等疾病.
  • 设计用于激酶的药物是具有挑战性的,因为它们的结构和形状灵活性得到保护.
  • 对于具有ATP竞争力的药物设计,DFG图案的构造状态至关重要.

研究的目的:

  • 为了评估AlphaFold2-RAVE捕捉酶的结构稳定性变化的能力.
  • 评估单点突变对酶相对结构稳定性的影响.
  • 证明药物设计中增强采样方法的实用性.

主要方法:

  • 将扩展的AlphaFold2-RAVE模型应用于野生型DDR1和三个突变动物.
  • 利用可转移的学习顺序参数和潜力进行稳定性分析.
  • 利用AlphaFold2的架构来增强蛋白质动态的采样.

主要成果:

  • AlphaFold2-RAVE准确地恢复了相对形状稳定的变化.
  • 该方法有效地预测了激酶突变的独特行为.
  • 证明了该模型在探索博尔兹曼加权蛋白质组合方面的能力.

结论:

  • AlphaFold2-RAVE有效地模拟了酶的结构动态和稳定性.
  • 这种方法有助于基于结构的药物设计,通过预测序列变化的影响.
  • 该工具是AlphaFold2的补充,用于探索蛋白质构造格局.