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相关概念视频

Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

5.5K
Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
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Diffusion01:12

Diffusion

216.4K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
216.4K
Diffusion01:21

Diffusion

6.2K
Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
6.2K
Molecular Models02:00

Molecular Models

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Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

335
Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
335
Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

1.3K
Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
When administered orally, drugs establish a substantial concentration gradient between the gastrointestinal (GI) lumen and the bloodstream, expediting...
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Updated: Jan 17, 2026

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
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CGBack:扩散模型用于大规模和复杂的粗粒度分子系统的背景绘制.

Diego Ugarte La Torre1, Yuji Sugita1,2

  • 1Computational Biophysics Research Team, RIKEN Center for Computational Science, Kobe 650-0047, Japan.

Journal of chemical information and modeling
|September 17, 2025
PubMed
概括
此摘要是机器生成的。

CGBack使用新的扩散概率框架从粗粒度模型中重建了原子分子细节. 这为准确的蛋白质结构预测和生物分子模拟推进了多尺度建模.

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Mapping Molecular Diffusion in the Plasma Membrane by Multiple-Target Tracing MTT
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科学领域:

  • 计算生物学 计算生物学
  • 分子建模分子建模
  • 生物物理学的生物物理.

背景情况:

  • 粗粒度 (CG) 模型通过降低计算成本来加速分子动力学 (MD) 模拟.
  • 从CG模型中重建原子细节 (后映射) 对于结构分析至关重要,但仍然具有挑战性.
  • 现有的逆向映射方法与立体化学,高能量状态和复杂的生物分子系统作斗争.

研究的目的:

  • 开发一个先进的后映射框架,从CG表示中重建全原子分子结构.
  • 解决传统的回映管道在保持分子忠实性和效率方面的局限性.
  • 为了使多样化和大规模的生物分子系统能够准确地回收原子细节.

主要方法:

  • 开发了CGBack,这是一个使用无效扩散概率模型的后映射框架.
  • 在CGBack框架内实施了逆向映射和精细化程序.
  • 在各种蛋白质系统中验证了CGBack,包括单链,多链和内在无序的蛋白质.

主要成果:

  • CGBack从各种蛋白质尺度的CG表示中准确地恢复原子坐标.
  • 该框架成功地对复杂的系统进行了逆向映射,包括密集的内在无序蛋白质.
  • 证明了立体化学的保存和避免高能配置.

结论:

  • CGBack提供了一个强大而准确的解决方案,用于将CG分子模型逆向映射到全原子表示.
  • 该框架增强了多级分子模拟管道,提高了蛋白质建模效率.
  • CGBack是一个有前途的工具,用于在各种CG模型中推进蛋白质和其他生物分子的模拟.