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

Intrinsically Disordered Proteins02:18

Intrinsically Disordered Proteins

17.6K
Intrinsically disordered proteins are a group of proteins that do not fold into specific three-dimensional structures. Their structural flexibility allows them to complement ordered proteins to perform functions that are inaccessible to rigid structures. They are more common in eukaryotes than prokaryotes and may either be exclusively intrinsically disordered or hybrid proteins, consisting of a mix of ordered and disordered regions. The absence of a rigid structure in these proteins can be...
17.6K
Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

5.2K
Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
5.2K
Protein Folding01:22

Protein Folding

117.0K
Overview
117.0K
Protein Networks02:26

Protein Networks

3.9K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
3.9K
Protein Families02:47

Protein Families

15.2K
Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key...
15.2K
Protein Organization01:24

Protein Organization

6.1K
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....
6.1K

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

AF-CALVADOS: AlphaFold-guided simulations of multi-domain proteins at the proteome level.

Protein science : a publication of the Protein Society·2026
Same author

Proteome-scale quantification of the interactions driving condensate formation of intrinsically disordered proteins.

Nature communications·2026
Same author

AI-Physics-Experiment Trinity for Integrated Protein Dynamics Modeling.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Integrated NMR/MD investigation reveals differences after reweighting in conformational ensembles of GAAG and GCAA tetraloops.

RNA (New York, N.Y.)·2026
Same author

Effects of residue substitutions on the cellular abundance of proteins.

eLife·2026
Same author

StruCloze: A Unified Framework for Backmapping and Inpainting Biomolecule Structures.

Journal of chemical theory and computation·2026

相关实验视频

Updated: May 22, 2025

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

7.2K

机器学习方法用于研究无序蛋白质中的序列-集合-功能关系.

Sören von Bülow1, Giulio Tesei1, Kresten Lindorff-Larsen1

  • 1Structural Biology and NMR Laboratory & the Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen, Ole Maaløes Vej 5, 2200, Copenhagen, Denmark.

Current opinion in structural biology
|March 13, 2025
PubMed
概括

机器学习推进了蛋白质研究,但与内在无序的区域斗争. 本综述涵盖了将无序蛋白序列与其功能联系起来的新方法,整合了实验和模拟.

科学领域:

  • 生物化学和分子生物学
  • 计算生物学 计算生物学
  • 结构生物学 结构生物学

背景情况:

  • 机器学习模型擅长从氨基酸序列预测折叠的蛋白质结构和功能.
  • 这些模型对于内在无序蛋白质 (IDP) 往往是无效的,因为它们的动态和异质性质.
  • IDP在各种生物过程中起着至关重要的作用,需要有效的分析方法.

研究的目的:

  • 审查机器学习应用中对内在无序蛋白质的最新进展.
  • 探索将IDP的氨基酸序列与它们的构造组合和生物功能联系起来的方法.
  • 突出结合计算,实验和进化方法在研究国内流离失所者.

主要方法:

  • 机器学习技术的审查应用到无序的蛋白质序列.
  • 分析生成和利用IDP的构造组合的方法.
  • 检查连接序列,生物物理性质和IDP中的功能的方法.
  • 整合实验数据,理论模型和模拟.

主要成果:

  • 开发适用于内在无序蛋白序列的机器学习模型.
  • 为IDPs生成多样化的形状组合的新方法.
  • 提高将失序蛋白序列与生物物理特征和生物作用联系起来的能力.

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
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

相关实验视频

Last Updated: May 22, 2025

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

7.2K
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
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
  • 了解作用于无序蛋白序列的独特进化约束.
  • 结论:

    • 机器学习越来越适用于研究内在无序的蛋白质.
    • 结合计算,实验和理论的多学科方法对于理解国内流离失所者至关重要.
    • 考虑到对无序区域的明显进化压力是推动该领域发展的关键.