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

Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
Conservation of Protein Domains02:26

Conservation of Protein Domains

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...

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

Cationic imidazolium macrocycles enable array-based, site-selective optical detection of peptide phosphorylation.

Organic & biomolecular chemistry·2026
Same author

Revealing Imatinib-Kinase Specificity via Analyzing Changes in Protein Dynamics and Computing Molecular Binding Affinity.

The journal of physical chemistry. B·2026
Same author

Pharmacokinetic Drug-Drug Interaction of Leritrelvir in Healthy Chinese Volunteers: A Single-Arm, Open-Label, Dual-Cohort Study.

Clinical drug investigation·2026
Same author

Mechanistic Dissection of Conformational Transition of Bicyclic Peptide via Molecular Modeling and Deep Learning.

bioRxiv : the preprint server for biology·2026
Same author

IEPDYN: Integral-equation formalism of population dynamics.

The Journal of chemical physics·2026
Same author

Structural insight into hierarchical DNMT3A autoinhibition and its dysregulation in disease.

Nature communications·2026

相关实验视频

Updated: May 9, 2026

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

17.0K

通过生成性深度学习采样高度动态蛋白质的合规组合.

Talant Ruzmetov1, Ta I Hung1,2, Saisri Padmaja Jonnalagedda3

  • 1Department of Chemistry, University of California, Riverside, California 92521, United States.

Journal of chemical information and modeling
|February 21, 2025
PubMed
概括

本研究介绍了内部坐标网 (ICoN),这是一种用于蛋白质结构分析的深度学习模型. ICoN有效地采样蛋白质景观,揭示了对粉样蛋白-β 42等内在无序蛋白质的新见解.

更多相关视频

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

15.3K
Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
09:17

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

3.0K

相关实验视频

Last Updated: May 9, 2026

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

17.0K
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

15.3K
Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
09:17

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

3.0K

科学领域:

  • 生物物理学的生物物理.
  • 计算生物学 计算生物学
  • 结构生物学 结构生物学

背景情况:

  • 蛋白质构成组合对生物功能至关重要,但它们的研究在计算上具有挑战性.
  • 内在无序的蛋白质 (IDP) 呈现出功能和疾病相关聚合至关重要的动态形态格局.
  • 了解蛋白质动态需要先进的方法来全面采样构造空间.

研究的目的:

  • 开发一种新的深度学习模型,即内部坐标网 (ICoN),用于高效的蛋白质构造采样.
  • 通过ICoN模型研究粉样β 42 (Aβ42) 单体的构造格局.
  • 通过计算分析识别新型蛋白质构造并合理化实验发现.

主要方法:

  • 介绍了内部坐标网 (ICoN),这是一个在分子动力学模拟数据上训练的深度学习模型.
  • 在被学习的潜伏空间中进行插曲,以产生新的合成蛋白质构造.
  • 应用ICoN以全面采样Aβ42单体的结构格局.

主要成果:

  • ICoN成功地学习了蛋白质结构变化的物理原理.
  • 生成的合成形状揭示了不同的集群,解释了实验观测.
  • 确定了在训练数据中不存在的详细原子相互作用的新型构造.
  • 新的形状显示了与实验数据 (EPR,氨基酸替代) 一致的侧链重排.

结论:

  • 通过ICoN,深度学习为蛋白质构成采样提供了一种强大且可转移的方法.
  • 这种方法有效地利用自然的原子运动来增强蛋白质动态的采样.
  • ICoN提供了对蛋白质构造格局的全面视图,有助于理解功能和疾病.