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-protein Interfaces02:04

Protein-protein Interfaces

12.4K
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...
12.4K
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
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-Protein Interfaces02:04

Protein-Protein Interfaces

3.6K
3.6K
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
Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

2.5K
Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...
2.5K

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

Correlational Analysis of Liver Metabolites and Pharmacodynamic Indexes in Xanthoxylin-Treated Acute Liver Failure.

Molecules (Basel, Switzerland)·2026
Same author

A novel gene ACTRT3 mutations induce sperm malformations and fertilization failure via Acrosomal ultrastructural defects.

Human molecular genetics·2026
Same author

TM-Loop: Transformer multi-omics hierarchical detection of chromatin loop.

Scientific reports·2026
Same author

[Construction of a ubiquitination-related gene prognostic model for breast cancer based on taxane treatment response].

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences·2026
Same author

Electrically Accelerated Mechanochemical Film Formation by a Phosphonium Phosphate Ionic Liquid: An <i>In Situ</i> Chemical Kinetics Investigation.

Langmuir : the ACS journal of surfaces and colloids·2026
Same author

THC-net: an attention-based deep learning model for chromatin compartment prediction from histone modifications.

BMC bioinformatics·2026

相关实验视频

Updated: Jun 4, 2025

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

CPI-GGS:一种基于图形和序列的深度学习模型,用于预测基于图形和序列的化合物-蛋白相互作用.

Zhanwei Hou1, Zhenhan Xu1, Chaokun Yan2

  • 1School of Software, Henan Polytechnic University, Jiaozuo 454003, China.

Computational biology and chemistry
|January 3, 2025
PubMed
概括

本研究介绍了CPI-GGS,这是一种深度学习方法,用于提高药物发现中化合物-蛋白相互作用 (CPI) 预测准确度. 新模型增强了对药物向相互作用的理解,加速了新疗法的开发.

关键词:
化合物-蛋白质相互作用深度学习是一种深度学习.门式经常性单位 门式经常性单位图形卷积网络的图形卷积网络.

更多相关视频

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
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K

相关实验视频

Last Updated: Jun 4, 2025

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
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
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.6K

科学领域:

  • 计算化学是一种计算化学.
  • 生物信息学是一种生物信息学.
  • 药物发现 药物发现

背景情况:

  • 化合物-蛋白相互作用 (CPI) 预测对于药物发现至关重要,但传统方法昂贵且低效.
  • 机器学习和深度学习为提高CPI预测准确性和降低成本提供了有希望的途径.
  • 当前的CPI预测模型在不同数据集的准确性,概括性和验证性方面存在困难.

研究的目的:

  • 为了解决当前CPI预测方法的局限性.
  • 提出一种新的深度学习方法,用于准确的CPI预测和分析.
  • 为加速药物发现和开发提供一个有价值的工具.

主要方法:

  • 开发了一种名为CPI-GGS的综合深度学习方法.
  • 应用CPI-GGS来预测和分析化合物-蛋白相互作用.
  • 在GitHub上公开提供源代码,以便可复制和进一步研究.

主要成果:

  • CPI-GGS在预测化合物-蛋白相互作用方面表现出更好的准确性.
  • 该方法增强了对化合物和蛋白质如何相互作用的理解.
  • 实验结果验证了拟议的深度学习方法的有效性.

结论:

  • CPI-GGS模型在CPI预测准确度方面取得了重大进展.
  • 这种工具可以加速识别潜在的候选药物.
  • 这些发现有助于更有效的药物发现和开发管道.