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相关概念视频

Protein Folding01:25

Protein Folding

7.8K
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...
7.8K
Molecular Chaperones and Protein Folding03:00

Molecular Chaperones and Protein Folding

17.8K
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...
17.8K
Protein Organization01:24

Protein Organization

6.3K
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....
6.3K
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
Amyloid Fibrils03:03

Amyloid Fibrils

9.3K
Amyloid fibrils are aggregates of misfolded proteins.  Under most circumstances, misfolded proteins are either refolded by chaperone proteins or degraded by the proteasome. However, in the case of a mutation or a disease, these proteins can accumulate to form large clusters and often further assemble to form elongated fibers, called fibrils. 
Amyloid deposits were observed as early as 1639 in the liver and the spleen.   In 1854, Rudolph Virchow performed iodine staining,...
9.3K
Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

10.8K
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...
10.8K

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相关实验视频

Updated: Jun 14, 2025

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

Published on: July 25, 2013

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人工智能方法用于蛋白质折叠和设计.

Zhidian Zhang1, Chenxi Ou1, Yehlin Cho1

  • 1MIT Biology, MIT Building 68, 31 Ames St, Cambridge, 02142, MA, USA.

Current opinion in structural biology
|June 12, 2025
PubMed
概括

像AlphaFold2这样的机器学习模型可以准确地预测蛋白质结构,但在折叠物理方面存在困难. 蛋白质设计的新方法正在出现,使新的生物技术应用成为可能.

科学领域:

  • 计算生物学是一种计算生物学.
  • 生物技术是生物技术.
  • 蛋白质工程是一种蛋白质工程.

背景情况:

  • 机器学习 (ML) 已经改变了蛋白质结构的预测和设计.
  • 目前的ML模型利用进化数据进行准确的结构预测,但在捕捉蛋白质折叠物理方面面临挑战.

研究的目的:

  • 审查当前蛋白质折叠和逆折叠的方法.
  • 研究现有的蛋白质设计工具的潜力和局限性.
  • 为开发蛋白质工程的先进模型提供视角.

主要方法:

  • 对包括AlphaFold2,RoseTTAFold和ESMFold在内的最先进的ML模型进行结构预测的审查.
  • 分析蛋白质设计创新,如RF扩散,AF2设计和序列优化方法 (ProteinMPNN,ESM-IF).
  • 检查评估蛋白质设计和能源景观特征的指标.

主要成果:

  • 机器学习模型通过利用进化信息来实现结构预测的高准确性.
  • 重新设计的预测模型刺激了蛋白质设计的创新.
  • 专门的反向折叠方法基于目标结构设计序列.

结论:

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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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Assessment of Immunologically Relevant Dynamic Tertiary Structural Features of the HIV-1 V3 Loop Crown R2 Sequence by ab initio Folding
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Assessment of Immunologically Relevant Dynamic Tertiary Structural Features of the HIV-1 V3 Loop Crown R2 Sequence by ab initio Folding

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相关实验视频

Last Updated: Jun 14, 2025

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

Published on: July 25, 2013

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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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Assessment of Immunologically Relevant Dynamic Tertiary Structural Features of the HIV-1 V3 Loop Crown R2 Sequence by ab initio Folding
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Assessment of Immunologically Relevant Dynamic Tertiary Structural Features of the HIV-1 V3 Loop Crown R2 Sequence by ab initio Folding

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  • 目前的方法很有前途,但需要进一步开发,以充分捕捉蛋白质折叠物理和能量景观.
  • 在特征能量景观的进步对于准确的结构预测和设计具有特定动态的蛋白质至关重要.
  • 未来的发展可以彻底改变生物技术应用的新型蛋白质工程.