Jove
Visualize
联系我们

相关概念视频

Intrinsically Disordered Proteins02:18

Intrinsically Disordered Proteins

17.7K
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...
17.7K
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.5K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
12.5K
Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
4.2K
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
Ligand Binding Sites02:40

Ligand Binding Sites

12.7K
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
12.7K
Protein Organization01:24

Protein Organization

6.2K
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....
6.2K

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

Polymer-Agent: Large Language Model Agent for Polymer Design.

Journal of chemical information and modeling·2026
Same author

Large Language Model Agent for Modular Task Execution in Drug Discovery.

Journal of chemical information and modeling·2026
Same author

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models.

Journal of chemical information and modeling·2025
Same author

Protein Structure-Function Relationship: A Kernel-PCA Approach for Reaction Coordinate Identification.

Journal of chemical theory and computation·2025
Same author

AggreBots: configuring CiliaBots through guided, modular tissue aggregation.

bioRxiv : the preprint server for biology·2025
Same author

Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties.

Journal of chemical information and modeling·2024
Same journal

Predicting Nirmatrelvir Resistance in SARS-CoV-2 M<sup>pro</sup> Mutants with an Integrated Computational Framework.

The journal of physical chemistry. B·2026
Same journal

From Cation Solvation to Anion Coordination: Lewis-Acidic Boranes Enable Halide Salt Electrolytes.

The journal of physical chemistry. B·2026
Same journal

In Vitro-Prepared A30P Alpha-Synuclein Fibrils Adopt the Conserved and Disease-Relevant Greek Key Fold.

The journal of physical chemistry. B·2026
Same journal

Metastructure Analysis of Self-Assembled Nanocubes with Different Equatorial Methyl Groups Based on Molecular Dynamics Simulations.

The journal of physical chemistry. B·2026
Same journal

A Cocoordinated <sup>1</sup>H Internal Reference Quantifies Proton-Exchange Bias in Coordinated-Water Diffusion.

The journal of physical chemistry. B·2026
Same journal

Unveiling Electrolyte-Dependent Coordination Site Dynamics for Redox Mediator Design in Lithium-O<sub>2</sub> Batteries: Exchange vs Rearrangement.

The journal of physical chemistry. B·2026
查看所有相关文章
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

相关实验视频

Updated: Jun 6, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

504

IDP-Bert:使用大型语言模型预测内在无序蛋白质的特性.

Parisa Mollaei1, Danush Sadasivam2, Chakradhar Guntuboina3

  • 1Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.

The journal of physical chemistry. B
|November 25, 2024
PubMed
概括
此摘要是机器生成的。

固有无序蛋白 (IDP) 对于细胞功能至关重要,尽管缺乏结构. 一个新的深度学习模型,IDP-Bert,从氨基酸序列准确预测IDP特性,降低实验成本.

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

1.7K
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

68.5K

相关实验视频

Last Updated: Jun 6, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

504
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

1.7K
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

68.5K

科学领域:

  • 生物化学和分子生物学
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 内在无序的蛋白质 (IDP) 缺乏稳定的3D结构,但可以执行重要的生物功能.
  • 通过实验或模拟来表征国内流离失所者是昂贵和耗时的.
  • 内部流离失所者挑战了蛋白质生物学中的传统结构功能范式.

研究的目的:

  • 开发一种具有成本效益的方法来表征内在无序的蛋白质.
  • 仅从它们的氨基酸序列来预测IDP的关键生物物理性质.
  • 引入IDP-Bert模型用于预测IDP特征.

主要方法:

  • 设计了一个名为IDP-Bert的深度学习模型.
  • 利用了变压器架构和蛋白质语言模型.
  • 训练模型将氨基酸序列直接映射到IDP属性.

主要成果:

  • 实现了IDP属性的准确预测.
  • 成功预测了旋转半径,端到端的脱关系时间和热容量.
  • 证明了基于序列的深度学习对IDP特征的有效性.

结论:

  • IDP-Bert提供了一个有效的替代方案,以实验或基于模拟的IDP的表征.
  • 该模型有助于更好地理解内在无序的蛋白质及其功能.
  • 基于序列的深度学习对蛋白质科学研究具有重大前景.