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相关概念视频

Protein-protein Interfaces02:04

Protein-protein Interfaces

14.4K
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...
14.4K
Protein-Protein Interfaces02:04

Protein-Protein Interfaces

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Protein Networks02:26

Protein Networks

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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,...
4.4K

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相关实验视频

Updated: Jan 6, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

Published on: January 26, 2024

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记忆效率高,加速蛋白质相互作用推断与受阻,多GPU D-SCRIPT.

Daniel E Schäffer1,2, Samuel Sledzieski3, Lenore Cowen4

  • 1Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, United States.

Bioinformatics (Oxford, England)
|October 11, 2025
PubMed
概括
此摘要是机器生成的。

我们增强了D-SCRIPT以更快的蛋白质-蛋白质相互作用 (PPI) 分析,使用阻断的多GPU并行推断. 这大大降低了大规模蛋白质组研究的计算成本.

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Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

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相关实验视频

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation
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Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

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Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions
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Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

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科学领域:

  • 计算生物学是一种计算生物学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 蛋白与蛋白相互作用 (PPI) 对细胞功能至关重要.
  • 对PPI的高通量推断对于网络和蛋白质层次分析至关重要.
  • 像D-SCRIPT这样的现有方法在时间和内存方面可能是计算密集的.

研究的目的:

  • 提高 D-SCRIPT 对大规模 PPI 推断的效率.
  • 减少分析蛋白相互作用网络所需的计算资源.
  • 在D-SCRIPT框架内使用多个GPU实现并行处理.

主要方法:

  • 将受阻的多GPU并行推理集成到D-SCRIPT包中.
  • 开发一种并行方法来减少推理过程中的记忆足迹.
  • 实施技术,以优化大型蛋白质组的计算性能.

主要成果:

  • 在各种计算任务中显著减少内存使用 (13.8×对于大型蛋白质组).
  • 为D-SCRIPT启用了高效的多GPU并行性.
  • 保持了D-SCRIPT在高通量PPI推断方面的强度,同时提高了可扩展性.

结论:

  • D-SCRIPT与阻塞的多GPU并行推断提供了一个更有效的解决方案,用于大规模的PPI分析.
  • 增强的D-SCRIPT显著降低了蛋白质水平研究的计算障碍.
  • 这一进步使全面的PPI网络分析变得更加容易获得和可行.