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Protein Organization

Protein Organization

Protein Folding

Protein Folding

Protein Folding

Protein Folding

Protein-protein Interfaces

Protein-protein Interfaces

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 polypeptide...

Protein Organization

Protein Organization

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.

Protein Folding

Protein Folding

Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...

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相关实验视频

Updated: Jun 11, 2026

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

蛋白F3S:通过融合蛋白序列,结构和表面来提高酶功能的预测.

Mingzhi Yuan^1,2, Ao Shen^1,2, Yingfan Ma^1,2

¹Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, 131 Dong'an Road, 200032 Shanghai, China.

Briefings in bioinformatics

|January 3, 2025

概括

此摘要是机器生成的。

这项研究介绍了ProteinF3S,一种用于酶功能预测的新框架. 通过融合蛋白质序列,结构和表面数据,它在酶分类和预测方面取得了最先进的结果.

关键词:

酶功能的预测和预测信息融合信息融合信息融合蛋白质表示学习学习学习

更多相关视频

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

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Published on: July 16, 2017

相关实验视频

Last Updated: Jun 11, 2026

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

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

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:

蛋白质可以通过序列,结构和表面数据来表示,每一个提供独特的见解,但有局限性.
从这些不同的数据形式中整合补充信息具有促进蛋白质功能预测的巨大潜力.

研究的目的:

开发一个有效的框架,ProteinF3S,通过融合来自蛋白质序列,结构和表面数据的信息来进行酶功能预测.
通过蛋白质结构和表面表示之间的多尺度双向融合策略来增强特征表示.

主要方法:

开发了ProteinF3S,这是一个整合蛋白质序列,结构和表面数据的框架,用于酶功能预测.
实施了多规模的双向融合策略,涉及来自表面和结构编码器的层次特征.
通过连接序列特征与组合结构-表面特征来实现进一步的特征融合.

主要成果:

蛋白F3S在酶反应分类和酶委员会数量预测任务方面取得了新的最先进的性能.
证明了从序列,结构和表面数据中融合互补信息的有效性,以改善酶功能的预测.
多尺度双向聚变战略产生了更多的特色和信息特征.

结论:

多种蛋白质数据表示 (序列,结构,表面) 的融合是预测酶功能的高效策略.
蛋白F3S为利用多模式蛋白质数据提供了一个强大的框架,提高了酶功能预测的准确性.
未来的工作可以探索融合策略的进一步改进及其应用于其他与蛋白质相关的任务.