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 Organization01:24

Protein Organization

7.0K
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....
7.0K
Protein and Protein Structures02:15

Protein and Protein Structures

10.8K
10.8K
Protein Folding01:22

Protein Folding

120.8K
Overview
120.8K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

11.3K
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...
11.3K
Protein and Protein Structure02:15

Protein and Protein Structure

81.2K
Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
81.2K
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

1.9K
1.9K

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

Marital Satisfaction and Frailty in Later Life: Asymmetric, Gendered, and Distributional Associations.

Journal of applied gerontology : the official journal of the Southern Gerontological Society·2026
Same author

Temporal concentration trends of ammonia (NH<sub>3</sub>) and nitrogen dioxide (NO<sub>2</sub>) derived from paddy fields in South Korea by real-time monitoring.

Scientific reports·2026
Same author

How adolescent depressive symptoms are associated with premature mortality: Behavioral and socioeconomic pathways across the life course.

European child & adolescent psychiatry·2026
Same author

Asymmetric associations of depressive symptoms with frailty and the moderating roles of marriage and gender: A longitudinal study of older Korean adults.

Archives of gerontology and geriatrics·2026
Same author

Zero-Shot Self-Supervised Learning of Single Breath-Hold Magnetic Resonance Cholangiopancreatography (MRCP) Reconstruction.

Magnetic resonance in medicine·2026
Same author

Cumulative mild stress during early life alters prefrontal astrocytic proteins and elevates peripheral S100B in young adult mice.

Translational psychiatry·2026
Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026
Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026
Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026
Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026
Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026
Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026
查看所有相关文章

相关实验视频

Updated: Sep 9, 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

68.9K

使用Protpardelle-1c生成条件蛋白质结构

Tianyu Lu1, Richard Shuai2, Petr Kouba3

  • 1Department of Bioengineering, Stanford University.

bioRxiv : the preprint server for biology
|September 2, 2025
PubMed
概括
此摘要是机器生成的。

Protpardelle-1c提供了先进的蛋白质结构生成和多链复合能力. 与RF扩散等现有方法相比,这种新模式显著提高了性能和采样速度.

更多相关视频

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

2.0K
Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

333

相关实验视频

Last Updated: Sep 9, 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

68.9K
Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

2.0K
Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

333

科学领域:

  • 计算生物学
  • 结构生物学
  • 蛋白质设计中的人工智能

背景情况:

  • 蛋白质结构生成对于药物发现和蛋白质工程至关重要.
  • 现有的模型在图案脚手架和多链复合生成方面存在局限性.
  • 需要更高效,更准确的蛋白质结构生成模型.

研究的目的:

  • 介绍Protpardelle-1c,一个新的蛋白质结构生成模型集合.
  • 增强图案脚手架,并使多链复合生成具有热点调节.
  • 提高蛋白质结构预测和设计的效率和准确性.

主要方法:

  • 开发Protpardelle-1c,包括侧链调节和作物调节的全原子模型.
  • 使用MotifBench和La-Proteina的基准来评估动机脚手架的能力.
  • 将Protpardelle-1c的性能和参数数与RF扩散和La-Proteina进行比较.

主要成果:

  • 通过侧链调节,Protpardelle-1c获得了MotifBench的28.16分,超过了RFdiffusion的21.27分.
  • 根据作物条件的全原子模型在La-Proteina基准上产生了208个独特的解决方案,与La-Proteina可比,但参数显著减少.
  • Protpardelle-1c显示了快速采样,在40分钟内产生了3000个MotifBench骨干,这与RF扩散的31小时相比显著改善.

结论:

  • Protpardelle-1c代表了蛋白质结构生成模型的重大进步.
  • 该模型提供了强大的图案脚手架和高效的多链复合生成.
  • Protpardelle-1c为蛋白质设计和研究提供了更快,更高效的替代方案.