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

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

LCK-targeting molecular glues overcome resistance to inhibitor-based therapy in T-cell acute lymphoblastic leukemia.

Blood·2026
Same author

Improving Protein Structure Prediction Using Integrative Cryo-EM and Ion Mobility Mass Spectrometry Modeling.

Journal of chemical theory and computation·2026
Same author

Ion Mobility Mass Spectrometry Guided Modeling with AlphaFold and Rosetta Improves Protein Complex Structure Prediction.

bioRxiv : the preprint server for biology·2026
Same author

Improving Protein Structure Prediction Using Integrative Cryo-EM and Ion Mobility Mass Spectrometry Modeling.

bioRxiv : the preprint server for biology·2026
Same author

Multidose Inline Size-Exclusion Chromatography-Flash Oxidation for Structural Analysis of Dynamic Protein-Ligand Interactions of Antithrombin III and Unfractionated Heparin.

Analytical chemistry·2026
Same author

Enhanced Protein Complex Prediction via Rosetta, AlphaFold, and Nondifferential Covalent Labeling Mass Spectrometry.

The journal of physical chemistry. B·2025
Same journal

Sub1 contributes to heart failure with preserved ejection fraction driven by aging in mice.

Nature communications·2026
Same journal

The BRCA1-A complex restricts replication fork reversal-dependent DNA repair in ATM deficient cells.

Nature communications·2026
Same journal

Signaling downstream of tumor-stroma interaction regulates mucinous colorectal adenocarcinoma apicobasal polarity.

Nature communications·2026
Same journal

Click-polymerized polyenamine membranes for efficient lithium extraction.

Nature communications·2026
Same journal

Joint trajectories of brain atrophy, white matter hyperintensities and cognition quantify brain maintenance.

Nature communications·2026
Same journal

Proton shuttling at electrochemical interfaces under alkaline hydrogen evolution.

Nature communications·2026
查看所有相关文章

相关实验视频

Updated: Sep 13, 2025

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

4.5K

从单个突变的深度突变扫描中阐明深度学习结构.

Zachary C Drake1, Elijah H Day1, Paul D Toth2

  • 1Department of Chemistry and Biochemistry, University of California, Los Angeles, Los Angeles, CA, USA.

Nature communications
|July 27, 2025
PubMed
概括
此摘要是机器生成的。

深度突变扫描 (DMS) 数据完善了AlphaFold2的预测,显著提高了蛋白质结构的准确性. 新的方法,DMS-Fold,增强了对大多数蛋白质标的预测,为研究人员提供了有价值的工具.

更多相关视频

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.1K
A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe
07:55

A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe

Published on: March 7, 2019

8.2K

相关实验视频

Last Updated: Sep 13, 2025

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells
10:34

Probing RNA Structure with Dimethyl Sulfate Mutational Profiling with Sequencing In Vitro and in Cells

Published on: December 9, 2022

4.5K
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.1K
A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe
07:55

A Deep-sequencing-assisted, Spontaneous Suppressor Screen in the Fission Yeast Schizosaccharomyces pombe

Published on: March 7, 2019

8.2K

科学领域:

  • 计算生物学 计算生物学
  • 结构生物学 结构生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 深度学习,以AlphaFold2为例,大大提高了蛋白质结构的预测.
  • 然而,目前的方法在准确预测众多蛋白质系统方面存在局限性.
  • 准确的蛋白质结构预测对于理解生物功能和疾病至关重要.

研究的目的:

  • 为了提高AlphaFold2的蛋白质结构预测准确度,使用深度突变扫描 (DMS) 数据.
  • 开发一种新的计算方法,DMS-Fold,整合DMS的稀疏残留埋葬束.
  • 用模拟和实验数据验证DMS-Fold对AlphaFold2的疗效.

主要方法:

  • 从深度突变扫描 (DMS) 数据集中提取稀有残留物埋葬信息.
  • 集成的DMS衍生埋葬限制,以指导蛋白质结构生成期间的残留物放置.
  • 开发并验证了DMS-Fold计算工具,将其性能与AlphaFold2.2进行比较.

主要成果:

  • DMS-Fold显著提高了对88%的测试蛋白质标的AlphaFold2预测.
  • 对于252种蛋白质,观察到TM-Score (大于0.1) 的显著改善.
  • 该方法使用实验和模拟的DMS数据在提炼蛋白质结构方面表现出卓越的性能.

结论:

  • 从DMS整合稀疏的残留埋葬限制有效地改进了基于深度学习的蛋白质结构预测.
  • 与标准AlphaFold2相比,DMS-Fold提供了显著的改进,特别是在具有挑战性的蛋白质系统中.
  • DMS-Fold是免费的,提供了一个强大的,可访问的工具,以推进结构生物学研究.