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相关概念视频

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...
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Enzymes02:34

Enzymes

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Inside living organisms, enzymes act as catalysts for many biochemical reactions involved in cellular metabolism. The role of enzymes is to reduce the activation energies of biochemical reactions by forming complexes with its substrates. The lowering of activation energies favor an increase in the rates of biochemical reactions.
Enzyme deficiencies can often translate into life-threatening diseases. For example, a genetic abnormality resulting in the deficiency of the enzyme G6PD...
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Predicting Molecular Geometry02:27

Predicting Molecular Geometry

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VSEPR Theory for Determination of Electron Pair Geometries
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Fischer Projections02:18

Fischer Projections

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Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines.
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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...
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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,...
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相关实验视频

Updated: Jun 12, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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通过在ESMFold预测结构上的几何图形学习准确预测酶功能.

Yidong Song1, Qianmu Yuan1,2, Sheng Chen1

  • 1School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China.

Nature communications
|September 18, 2024
PubMed
概括

新的几何图形学习工具GraphEC通过分析蛋白质结构,准确地预测酶活性位点和EC数. 这种方法还可以预测最佳的pH值,进步合成生物学和基因组学中的酶功能发现.

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相关实验视频

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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:

  • 酶是重要的生物催化剂,酶委员会 (EC) 编号对其功能进行了分类.
  • 现有的EC数量预测方法往往忽略了关键的结构和活跃地点信息.
  • 精确预测酶特性对于各种生物和生物技术应用是必不可少的.

研究的目的:

  • 开发GraphEC,一种基于学习的新型几何图形预测器,用于酶活性位点和EC数.
  • 通过整合结构数据和同类信息来增强EC数字预测.
  • 预测酶的最佳pH值,以更好地了解它们的催化活性.

主要方法:

  • 利用ESMFold预测的蛋白质结构和预训练的蛋白质语言模型.
  • 开发了一种用于预测酶活性位点的模型,用于EC数量预测.
  • 采用了标签扩散算法,以结合同质信息,以改进EC号码预测.
  • 集成的最佳pH预测,以补充功能分析.

主要成果:

  • 与现有方法相比,GraphEC在预测酶活性位点,EC数量和最佳pH值方面表现优异.
  • 该模型有效地使用几何图形学习从蛋白质结构中直接提取功能信息.
  • 验证证实了该模型在识别未注释的酶功能的能力.

结论:

  • GraphEC提供了一种强大的方法来预测酶功能,活性位点和最佳pH值.
  • 对蛋白质结构的几何图形学习对于酶表征是有效的.
  • 这项技术具有显著的潜力,可以加速合成生物学,基因组学和酶发现的研究.