相关实验视频

Updated: Jan 11, 2026

Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion
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Structure-Based Simulation and Sampling of Transcription Factor Protein Movements along DNA from Atomic-Scale Stepping to Coarse-Grained Diffusion

Published on: March 1, 2022

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设计灵活的蛋白质结构和采样蛋白质构造,使用使用矢量量化和扩散的统一模型进行测量

Yufeng Liu1,2, Linghui Chen3, Quan Chen1,2

  • 1MOE Key Laboratory for Membraneless Organelles and Cellular Dynamics, School of Life Sciences, Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei 230001, China.

National science review
|November 17, 2025
PubMed
概括

我们开发了蛋白质矢量量量化和扩散 (PVQD),这是一种深度学习方法,用于预测蛋白质结构和设计新的蛋白质结构. PVQD有效地模拟了蛋白质结构动态,改进了现有的结构预测和设计方法.

关键词:
人工智能用于生物学.机器学习是机器学习.蛋白质设计 蛋白质设计蛋白质结构预测 蛋白质结构预测

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相关概念视频

Protein Organization01:24

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Conservation of Protein Domains Over Different Proteins

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Protein Folding01:22

Protein Folding

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Protein Folding01:25

Protein Folding

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.
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Conserved Binding Sites

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