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相关概念视频

Protein Folding01:25

Protein Folding

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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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Amyloid Fibrils03:03

Amyloid Fibrils

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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,...
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相关实验视频

Updated: Jun 27, 2025

Evaluation of the Impact of Protein Aggregation on Cellular Oxidative Stress in Yeast
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Evaluation of the Impact of Protein Aggregation on Cellular Oxidative Stress in Yeast

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通过先进的计算方法来理解蛋白质聚合.

Deepshikha Ghosh1, Anushka Biswas2, Mithun Radhakrishna

  • 1Department of Biological Sciences and Engineering, Indian Institute of Technology (IIT) Gandhinagar, Palaj, Gujarat 382355, India.

Biophysics reviews
|April 29, 2024
PubMed
概括

计算方法和生物信息学工具正在彻底改变蛋白质聚合的研究. 这些技术为疾病机制提供了关键的见解,并有助于开发阿尔茨海默氏症和帕金森症等疾病的治疗策略.

科学领域:

  • 分子生物学分子生物学
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 蛋白质聚合是神经退行性疾病的核心,如阿尔茨海默氏症和帕金森症,以及白内障.
  • 了解蛋白质聚合的复杂动力学在分子生物学中提出了重大挑战.
  • 精确的预测工具对于破译蛋白质聚合机制至关重要.

研究的目的:

  • 审查计算方法和生物信息学在理解蛋白质聚合中的作用.
  • 突出分子模拟在研究聚合途径中的应用.
  • 探索计算方法与实验数据的整合,用于治疗开发.

主要方法:

  • 分子动力学 (MD) 模拟 (原子化和粗粒度) 包括复制交换,元动力学 (MetaD) 和雨采样等先进技术.
  • 马尔科夫状态建模用于分析白内障形成中的陪伴机制.
  • 生物信息学,序列分析,结构数据分析,机器学习和人工智能用于预测聚合倾向.

主要成果:

  • 医学模拟提供了对蛋白质相互作用和疾病中的聚合途径的微观见解.
  • 计算工具对于预测聚合倾向区域和蛋白质聚合倾向是不可或缺的.
  • 先进的计算方法阐明了特定疾病的聚合机制,如阿尔茨海默氏症和帕金森病.

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Characterizing Individual Protein Aggregates by Infrared Nanospectroscopy and Atomic Force Microscopy
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Last Updated: Jun 27, 2025

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Evaluation of the Impact of Protein Aggregation on Cellular Oxidative Stress in Yeast

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Monitoring Protein Aggregation Kinetics In Vivo using Automated Inclusion Counting in Caenorhabditis elegans
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Monitoring Protein Aggregation Kinetics In Vivo using Automated Inclusion Counting in Caenorhabditis elegans

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Characterizing Individual Protein Aggregates by Infrared Nanospectroscopy and Atomic Force Microscopy
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Characterizing Individual Protein Aggregates by Infrared Nanospectroscopy and Atomic Force Microscopy

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结论:

  • 计算方法和生物信息学催化了理解蛋白质聚合的突破.
  • 计算方法和经验数据之间的协同作用是开发治疗策略的关键.
  • 本综述强调了计算生物学对揭示蛋白质聚合的分子基础及其临床影响的影响.