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

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
Conservation of Protein Domains02:26

Conservation of Protein Domains

3.1K
3.1K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K
From DNA to Protein03:06

From DNA to Protein

18.1K
The flow of genetic information in cells from DNA to mRNA to protein is described by the central dogma, which states that genes specify the sequence of mRNAs, which in turn specify the sequence of amino acids making up all proteins. The decoding of one molecule to another is performed by specific proteins and RNAs. Because the information stored in DNA is so central to cellular function, it makes intuitive sense that the cell would make mRNA copies of this information for protein synthesis...
18.1K
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

2.8K
2.8K
Protein and Protein Structure02:15

Protein and Protein Structure

79.1K
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...
79.1K

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

Atomic unification in molecular AI.

Cell·2026
Same author

Amino acid sequence encodes protein abundance shaped by protein stability at reduced synthesis cost.

Protein science : a publication of the Protein Society·2024
Same author

De novo production of protoberberine and benzophenanthridine alkaloids through metabolic engineering of yeast.

Nature communications·2024
Same author

Author Correction: Computational scoring and experimental evaluation of enzymes generated by neural networks.

Nature biotechnology·2024
Same author

Computational scoring and experimental evaluation of enzymes generated by neural networks.

Nature biotechnology·2024
Same author

Controlling gene expression with deep generative design of regulatory DNA.

Nature communications·2022

相关实验视频

Updated: Jun 14, 2025

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.3K

我们能用深度学习模型如何深入解读蛋白质进化呢?

Xiaozhi Fu1

  • 1Department of Life Sciences, Chalmers University of Technology, Kemivägen 10, SE-412 96 Gothenburg, Sweden.

Patterns (New York, N.Y.)
|September 5, 2024
PubMed
概括
此摘要是机器生成的。

进化机器学习模型组织蛋白质进化数据. 变异自编码器通过在等级潜伏空间中映射同类物来区分特定的蛋白质域.

更多相关视频

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

989
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K

相关实验视频

Last Updated: Jun 14, 2025

An Integrated Approach for Microprotein Identification and Sequence Analysis
09:37

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

3.3K
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

989
Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K

科学领域:

  • 计算生物学是一种计算生物学.
  • 机器学习是机器学习.
  • 蛋白质工程是一种蛋白质工程.

背景情况:

  • 蛋白质进化是复杂的,并具有挑战性的模型.
  • 机器学习为分析生物数据提供了新的方法.
  • 了解蛋白质域特异性对于功能至关重要.

研究的目的:

  • 将进化机器学习应用于蛋白质进化.
  • 利用深度生成模型进行蛋白质域分析.
  • 在潜空间中组织和区分蛋白质同类.

主要方法:

  • 采用基于进化的深度生成模型.
  • 使用变量自动编码器来组织数据.
  • 分析SH3同类的等级潜伏空间.

主要成果:

  • 在一个层次的潜伏空间中成功组织了SH3同类.
  • 证明了变异自编码器区分蛋白质域的能力.
  • 有效地区分了特定的SHO1SH3域.

结论:

  • 进化机器学习,特别是变化自编码器,对于绘制蛋白质进化的图表是有效的.
  • 这种方法为了解蛋白质域特异性提供了一个强大的工具.
  • 层次的潜伏空间组织有助于区分蛋白质同类物.