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 Organization01:24

Protein Organization

6.3K
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....
6.3K
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-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

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

Landslide detection in remote sensing images on the basis of feature recursion and sample balance.

Scientific reports·2026
Same author

Xanthomonas Type III Effector XopN Targets Scaffold Protein OsRACK1B to Suppress Rice Immunity.

Molecular plant pathology·2026
Same author

Photothermal-Responsive Artificial Enzyme Assembly Engineering for Near-Unity Nitrate-to-Ammonia Electrocatalysis.

Angewandte Chemie (International ed. in English)·2026
Same author

OsRACK1A Scaffolds MAPK Signaling to Mediate Rice Immunity Against Xanthomonas oryzae pv. oryzicola.

Rice (New York, N.Y.)·2026
Same author

Ultrasound-activated nanoregulator enables Cu<sup>2+</sup> directional enrichment and enhances cuproptosis via energy-gated feedback loop.

Journal of nanobiotechnology·2026
Same author

Trimetallic Zeolitic Imidazolate Framework-Derived CoNiO<sub>2</sub>/NiCo<sub>2</sub>O<sub>4</sub>/NiFe<sub>2</sub>O<sub>4</sub> Hierarchical Architecture: Unveiling Multi-Component Synergism for Ultrahigh-Capacity and Highly Stable Lithium Storage.

Molecules (Basel, Switzerland)·2026

相关实验视频

Updated: Jun 12, 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

510

调整大语言模型和几何深度模型对蛋白质表示的对齐.

Dong Shu1, Bingbing Duan2, Kai Guo3

  • 1Northwestern University, Computer Science Department, Evanston, IL 60201, USA.

Patterns (New York, N.Y.)
|June 9, 2025
PubMed
概括

将大语言模型 (LLM) 与蛋白质的几何深度模型 (GDM) 对齐至关重要. 更好的调整,特别是与结构数据的调整,提高了LLM的性能,减少了蛋白质科学中的错误.

关键词:
多式联络人工智能蛋白质蛋白质是一种蛋白质蛋白质.代表性对齐对齐表示

更多相关视频

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

68.6K
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

相关实验视频

Last Updated: Jun 12, 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

510
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

68.6K
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

科学领域:

  • 计算生物学和生物信息学
  • 人工智能在药物发现和蛋白质科学中的应用.
  • 机器学习用于结构生物学.

背景情况:

  • 大型语言模型 (LLM) 在生物应用中表现有前途.
  • 几何深度模型 (GDM) 擅长捕获蛋白质中的结构信息.
  • 整合这些模型需要了解它们的表示对齐.

研究的目的:

  • 调查蛋白质域中LLM和GDM的多模式表示之间的对齐.
  • 从模型和蛋白质的角度确定影响这种对齐的因素.
  • 提出加强调整及其对下游任务影响的战略.

主要方法:

  • 对三种LLM与四种蛋白质专业GDM进行综合评估.
  • 基于模型架构,蛋白质特征和嵌入策略的对齐分析.
  • 拟议的对齐增强技术的实验验证.

主要成果:

  • 使用图形和3D结构数据的GDM显示与LLMs的优异对齐.
  • 较大的LLM表现出增强的对齐能力.
  • 蛋白质稀有性显著影响了对齐;增加GDM嵌入尺寸和使用双层投影头提高了对齐质量.

结论:

  • 在LLM和GDM之间实现对齐是可以实现的,并可以通过特定的架构和数据策略进行优化.
  • 对蛋白质特定数据的微调LLM和增强GDM嵌入是有效的方法.
  • 改进的对齐直接与增强的下游任务性能和减少蛋白质重点多式联络LLM中的幻觉相关.