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 Folding01:25

Protein Folding

7.8K
Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
7.8K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

10.8K
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...
10.8K
Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

2.1K
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...
2.1K
Protein and Protein Structure02:15

Protein and Protein Structure

78.8K
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...
78.8K
Protein and Protein Structures02:15

Protein and Protein Structures

10.4K
10.4K
Amyloid Fibrils03:03

Amyloid Fibrils

9.3K
Amyloid fibrils are aggregates of misfolded proteins.  Under most circumstances, misfolded proteins are either refolded by chaperone proteins or degraded by the proteasome. However, in the case of a mutation or a disease, these proteins can accumulate to form large clusters and often further assemble to form elongated fibers, called fibrils. 
Amyloid deposits were observed as early as 1639 in the liver and the spleen.   In 1854, Rudolph Virchow performed iodine staining,...
9.3K

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

The mutational landscape of STING-induced immunity.

Nature·2026
Same author

RNA with Azvudine Incorporated One Nucleotide Upstream of 3'-End Resists Cleavage by SARS-CoV-2 Proofreading Exonuclease.

Research square·2026
Same author

Decoding epitope immunodominance in HIV Env using cryoEM and machine learning.

bioRxiv : the preprint server for biology·2026
Same author

Deep learning-enabled scaffolding of spatial arrays of PfCSP epitopes.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Description of a collaborative sperm whale birth and shifts in coda vocal styles during key events.

Scientific reports·2026
Same author

AF2BIND: predicting small-molecule binding sites using the pair representation of AlphaFold2.

Nature methods·2026
Same journal

High-throughput DNA engineering by mating bacteria.

Cell systems·2026
Same journal

Living bacterial reservoir computers for information processing and sensing.

Cell systems·2026
Same journal

A data-driven modeling framework for mapping genotypes to synthetic microbial community functions.

Cell systems·2026
Same journal

BulkFormer: A large-scale foundation model for bulk transcriptomes.

Cell systems·2026
Same journal

Glycoform engineering of a mammalian platform to sculpt a humanized recombinant bioscavenger.

Cell systems·2026
Same journal

Targeted genomic editing of human gut Bacteroides species based on CRISPR-associated transposases.

Cell systems·2026
查看所有相关文章

相关实验视频

Updated: Jun 11, 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

15.4K

使用深度学习探索"暗物质"蛋白质折叠.

Zander Harteveld1, Alexandra Van Hall-Beauvais1, Irina Morozova2

  • 1École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.

Cell systems
|October 9, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了Genesis,一个卷积变异自编码器,用于设计新型蛋白质. 这种人工智能模型有效地创造了稳定的,与原生蛋白质类似的蛋白质结构,在蛋白质工程中开辟了新的前沿.

关键词:
计算型蛋白质设计暗物质的折叠是暗物质的折叠数据驱动的蛋白质设计这是一个de novo设计.深度学习用于蛋白质设计.高通量选的高通量选机器学习用于分子生成.

更多相关视频

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

3.1K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

975

相关实验视频

Last Updated: Jun 11, 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

15.4K
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

3.1K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

975

科学领域:

  • 计算生物学是一种计算生物学.
  • 蛋白质工程是一种蛋白质工程.
  • 科学中的人工智能.

背景情况:

  • 新型蛋白质设计旨在创造超越进化采样的新型蛋白质.
  • 一个关键的挑战是为序列生成开发"可设计"的结构模板.
  • 现有的方法往往难以探索各种蛋白质拓.

研究的目的:

  • 介绍创世纪,一个卷积变异自编码器,用于学习蛋白质结构模式.
  • 为了证明创世纪在设计针对目标结构的新型蛋白质序列方面的能力.
  • 为了应对脊柱可设计性挑战,在 de novo 蛋白质设计中.

主要方法:

  • 开发了创世纪,一个卷积变异自编码器,以学习蛋白质结构模式.
  • 将Genesis与trRosetta结合起来,用于针对特定蛋白质折叠的序列设计.
  • 使用高通量蛋白酶抗性试验来评估蛋白质的稳定性.

主要成果:

  • 创世纪成功地重建了5个本地和3个新型蛋白质折叠的本地式距离和角度分布.
  • 人工智能模型在多样化和以前未被探索的蛋白质拓学中展示了概括性.
  • 设计的蛋白质表现出令人鼓舞的稳定性,在折叠中成功率高.

结论:

  • 创世纪使蛋白质折叠空间的快速探索成为可能,大大加速了新型蛋白质的设计.
  • 像创世纪这样的小型神经网络可以有效地学习蛋白质中的复杂结构模式.
  • 这种方法提升了为各种应用设计功能性新型蛋白质的能力.