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相关概念视频

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A phase diagram combines plots of pressure versus temperature for the liquid-gas, solid-liquid, and solid-gas phase-transition equilibria of a substance. These diagrams indicate the physical states that exist under specific conditions of pressure and temperature and also provide the pressure dependence of the phase-transition temperatures (melting points, sublimation points, boiling points). Regions or areas labeled solid, liquid, and gas represent single phases, while lines or curves represent...
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Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
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Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
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Electrical current is defined as the rate at which charge flows. When there is a large current present, such as that used to run a refrigerator, a large amount of charge moves through the wire in a small amount of time. If the current is small, such as that used to operate a handheld calculator, a small amount of charge moves through the circuit over a long period of time. The SI unit for current is the ampere (A), named for the French physicist André-Marie Ampère (1775–1836).
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无膜有机体通过液-液相分离 (LLPS) 形成,这对细胞功能至关重要. 计算模型有助于解码LLPS规则,有助于理解神经退行性疾病.

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科学领域:

  • 生物化学 生物化学
  • 细胞生物学 细胞生物学
  • 生物物理学的生物物理.

背景情况:

  • 无膜有机体,或生物分子凝聚物,通过液-液相分离 (LLPS) 形成,对细胞过程至关重要.
  • 这些凝聚物的失调与神经退行性疾病有关,强调需要理解LLPS原则.
  • 解读管理LLPS热力学和动态的序列编码规则是一个关键的挑战.

研究的目的:

  • 审查生物分子相分离的预测计算建模的最新进展.
  • 专注于残留水平的粗粒度模型,作为介质镜和原子镜模拟之间的桥梁.
  • 为LLPS建模的未来改进提供视角.

主要方法:

  • 概述生物分子相分离的预测建模的近期进展.
  • 专注于残留水平的粗粒度模型.
  • 讨论开发研究LLPS模型的方法.

主要成果:

  • 残留级粗粒度模型为研究LLPS提供了介面镜和原子模拟方法之间的桥梁.
  • 各种建模方法在研究LLPS时的实用性得到了强调.
  • 提出了一个参数化策略,该策略结合了多尺度模拟和实验数据.

结论:

  • 计算建模,特别是残留级粗粒度方法,是探测LLPS的强大工具.
  • 需要进一步开发预测模型才能充分理解LLPS.
  • 将多尺度模拟与实验数据相结合,对于揭示凝结物形成和功能障碍的分子机制至关重要.