Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Protein Folding

Protein Folding

Conserved Binding Sites

Conserved Binding Sites

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...

Protein Organization

Protein Organization

Conservation of Protein Domains Over Different Proteins

Conservation of Protein Domains Over Different Proteins

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...

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

Protein language models for structural biology.

Nature computational science·2026

Same author

mTM-align2: A Server for Real-time Protein Structure Database Search and Alignment.

Genomics, proteomics & bioinformatics·2026

Same author

The trRosettaRNA server for RNA structure prediction.

Nature protocols·2026

Same author

Generating Dynamic Structures Through Physics-Based Sampling of Predicted Inter-Residue Geometries.

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

Same author

Quality assessment of RNA 3D structure models using deep learning and intermediate 2D maps.

Communications biology·2026

Same author

Integrated experimental and AI innovations for RNA structure determination.

Nature biotechnology·2026

Search research articles

相关实验视频

Updated: Sep 16, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

通过补充对齐方法检测到的多个模板来预测蛋白质的寡合状态.

Yuxian Luo¹, Haiyan Wu¹, Hong Wei²

¹MOE Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, China.

|July 11, 2025

概括

预测蛋白质寡合体状态是了解蛋白质结构和功能的关键. 新的POST方法使用多个算法准确地识别蛋白质复合物,如二元体和三元体,帮助蛋白质结构预测.

关键词:

同类模板的同类模板蛋白质复合体蛋白质复合体蛋白质结构预测蛋白质结构预测

更多相关视频

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

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

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

Published on: July 14, 2015

相关实验视频

Last Updated: Sep 16, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins

Published on: July 8, 2025

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

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

Published on: July 14, 2015

科学领域:

生物化学和结构生物学
计算生物学和生物信息学

背景情况:

蛋白质的寡合体状态对功能和结构至关重要.
精确预测寡合体状态对于蛋白质结构预测任务至关重要,例如CASP16实验.

研究的目的:

介绍POST,一种新的计算方法,用于预测同类寡合蛋白质的寡合状态.
专注于预测四种特定的寡合体状态:单质,二质,三质和四质.

主要方法:

POST使用了通过动态编程,蛋白质语言模型和隐藏的马尔科夫模型检测到的多个同源模板.
使用了一个全面的模板库 (Q-BioLiP).
三种不同的算法产生单独的预测方法.

主要成果:

不同算法检测到的模板在很大程度上是互补的.
将所有方法的模板结合起来,可以获得最准确的寡合状态预测.
POST 优于现有的基于序列的方法,用于特定的寡合物状态预测和区分单体和多体.

结论:

POST是预测蛋白质寡合体状态的宝贵工具,特别是在同类寡合体中.
该方法通过整合多个检测算法来提高准确性.
预计POST将对蛋白质结构预测和蛋白质设计工作做出重大贡献.