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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...
4.2K
Protein-protein Interfaces02:04

Protein-protein Interfaces

12.6K
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...
12.6K
Ligand Binding Sites02:40

Ligand Binding Sites

12.9K
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...
12.9K
Protein-Drug Binding: Determination Methods01:22

Protein-Drug Binding: Determination Methods

244
Determining protein-drug binding can be achieved through indirect and direct methods, each providing valuable insights into the interaction between proteins and drugs.
Indirect methods involve isolating the bound drug from its free form in biological samples such as blood, serum, or plasma. These techniques aim to measure the percentage of drugs bound to proteins. Equilibrium dialysis is a commonly used method where the free drug concentration at equilibrium is measured by separating the bound...
244
Protein Folding Quality Check in the RER01:29

Protein Folding Quality Check in the RER

3.8K
ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
3.8K
z Scores and Area Under the Curve01:17

z Scores and Area Under the Curve

11.0K
z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
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相关实验视频

Updated: Jul 25, 2025

Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

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

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GDockScore:一个基于图形的蛋白质-蛋白质对接得分功能.

Matthew McFee1,2, Philip M Kim1,2,3

  • 1Department of Molecular Genetics, The University of Toronto, Toronto, ON M5S 1A8, Canada.

Bioinformatics advances
|June 26, 2023
PubMed
概括
此摘要是机器生成的。

一个新的基于图形的深度学习模型,GDockScore,准确地预测蛋白质复杂接口. 这种计算方法通过学习有效的评分函数来增强蛋白质-蛋白质对接,实现最先进的结果.

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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

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A Protocol for Computer-Based Protein Structure and Function Prediction
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A Protocol for Computer-Based Protein Structure and Function Prediction

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相关实验视频

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Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
05:08

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

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Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
10:21

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A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

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科学领域:

  • 计算生物学是一种计算生物学.
  • 结构生物信息学 结构生物信息学
  • 在蛋白质科学中的机器学习

背景情况:

  • 蛋白质复合体对于生物过程至关重要,其功能由3D结构决定.
  • 计算对接方法可以预测蛋白质-蛋白质接口,绕过漫长的实验程序.
  • 准确的评分功能对于在蛋白质对接中选择正确的解决方案至关重要.

研究的目的:

  • 介绍GDockScore,一种基于图形的新型深度学习模型,用于蛋白质-蛋白质对接得分.
  • 开发一个得分函数,利用蛋白质的数学图表表示.
  • 为了评估GDockScore的性能与基准数据集的既定方法相比.

主要方法:

  • 使用图形神经网络来表示蛋白质结构.
  • 在蛋白质数据库 (PDB) 生物单元和RosettaDock输出上进行预训练的GDockScore.
  • 从ZDOCK蛋白质对接基准对HADDOCK诱的模型进行微调.
  • 将GDockScore性能与Rosetta评分功能进行比较,以及CAPRI评分集上的最新结果.

主要成果:

  • GDockScore表现出与RosettaDock诱上的Rosetta评分函数相似的性能.
  • 该模型在具有挑战性的CAPRI分数组上取得了最先进的结果.
  • 基于图形的方法有效地学习了蛋白质接口评分.

结论:

  • GDockScore提供了一个强大的新工具,用于计算蛋白质-蛋白质对接.
  • 对图形表示的深度学习显示了预测蛋白质复杂结构的重大前景.
  • 开发的模型推进了结构生物信息学和药物发现领域.