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相关概念视频

Molecular Chaperones and Protein Folding03:00

Molecular Chaperones and Protein Folding

18.0K
The native conformation of a protein is formed by interactions between the side chains of its constituent amino acids. When the amino acids cannot form these interactions, the protein cannot fold by itself and needs chaperones. Notably, chaperones do not relay any additional information required for the folding of polypeptides; the native conformation of a protein is determined solely by its amino acid sequence. Chaperones catalyze protein folding without being a part of the folded protein.
The...
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Protein Folding Quality Check in the RER01:29

Protein Folding Quality Check in the RER

3.7K
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...
3.7K
Protein Organization01:24

Protein Organization

6.5K
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....
6.5K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

10.9K
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...
10.9K
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
Protein and Protein Structure02:15

Protein and Protein Structure

79.7K
Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
A protein's shape is critical to its function. For example, an enzyme...
79.7K

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相关实验视频

Updated: Jul 13, 2025

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

Published on: November 3, 2011

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最近在蛋白质折叠路径预测方面的进展通过计算方法进行预测.

Kailong Zhao1, Fang Liang1, Yuhao Xia1

  • 1College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China.

Current medicinal chemistry
|October 13, 2023
PubMed
概括

计算方法正在推进对蛋白质折叠机制的研究,这对于了解生命过程和疾病至关重要. 这篇评论探讨了人工智能驱动的对蛋白质结构和折叠路径的模拟和预测.

科学领域:

  • 生物化学和分子生物学
  • 计算生物学和生物信息学
  • 结构生物学 结构生物学

背景情况:

  • 蛋白质折叠机制是生物过程和疾病病原发生的基础.
  • 了解蛋白质结构是开发各种疾病的治疗和预防策略的关键.
  • 人工智能 (AI) 的进步正在彻底改变蛋白质结构预测和折叠研究.

研究的目的:

  • 通过使用计算方法,回顾了解蛋白质折叠机制的当前进展.
  • 突出AI和模拟技术在预测蛋白质折叠路径和中间体中的应用.
  • 讨论计算型蛋白质折叠研究的未来挑战和前景.

主要方法:

  • 模拟反向折叠路径 (原生于展开状态).
  • 机器学习用于预测早期折叠残留物.
  • 为了探索蛋白质折叠路径,采用符合性采样.
  • 基于模板的蛋白质折叠中间体的预测.

主要成果:

  • 计算方法,特别是人工智能,在研究蛋白质折叠方面越来越有效.
  • 不同的计算方法为折叠过程的不同方面提供了洞察力.
  • 在模拟折叠路径和预测关键折叠事件方面取得了进展.
关键词:
人工智能技术AI技术AI技术蛋白质折叠的途径.计算方法 计算方法符合性采样采样机器学习是机器学习.远程模板. 远程模板. 远程模板. 远程模板.

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

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Last Updated: Jul 13, 2025

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A Protocol for Computer-Based Protein Structure and Function Prediction

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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
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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

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

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结论:

  • 计算方法是解开复杂蛋白质折叠机制的重要工具.
  • 人工智能和先进的模拟对未来在蛋白质折叠方面的发现具有重大前景.
  • 应对当前的挑战将进一步提高我们预测和理解蛋白质折叠的能力.