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相关概念视频

Entropy02:39

Entropy

35.4K
Salt particles that have dissolved in water never spontaneously come back together in solution to reform solid particles. Moreover, a gas that has expanded in a vacuum remains dispersed and never spontaneously reassembles. The unidirectional nature of these phenomena is the result of a thermodynamic state function called entropy (S). Entropy is the measure of the extent to which the energy is dispersed throughout a system, or in other words, it is proportional to the degree of disorder of a...
35.4K
Entropy01:18

Entropy

3.6K
The first law of thermodynamics is quantitatively formulated via an equation relating the internal energy of a system, the heat exchanged by it, and the work done on it. A quantitative formulation of the second law of thermodynamics leads to defining a state function, the entropy.
When an ideal gas expands isothermally, the disorder in the gas increases. From the molecular perspective, the gas molecules have more volume to move around in.
Consider an infinitesimal step in the expansion, which...
3.6K
Standard Entropy Change for a Reaction03:00

Standard Entropy Change for a Reaction

24.2K
Entropy is a state function, so the standard entropy change for a chemical reaction (ΔS°rxn) can be calculated from the difference in standard entropy between the products and the reactants.
24.2K
Entropy and Solvation02:05

Entropy and Solvation

8.4K
The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
8.4K
Entropy within the Cell01:22

Entropy within the Cell

12.8K
A living cell's primary tasks of obtaining, transforming, and using energy to do work may seem simple. However, the second law of thermodynamics explains why these tasks are harder than they appear. None of the energy transfers in the universe are completely efficient. In every energy transfer, some amount of energy is lost in a form that is unusable. In most cases, this form is heat energy. Thermodynamically, heat energy is defined as the energy transferred from one system to another that...
12.8K
Entropy and the Second Law of Thermodynamics01:20

Entropy and the Second Law of Thermodynamics

4.9K
The second law of thermodynamics can be stated quantitatively using the concept of entropy. Entropy is the measure of disorder of the system.
The relation  between entropy and disorder can be illustrated with the example of the phase change of ice to water. In ice, the molecules are located at specific sites giving a solid state, whereas, in a liquid form, these molecules are much freer to move. The molecular arrangement has therefore become more randomized. Although the change in average...
4.9K

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Updated: Jan 28, 2026

Localization of SUMO-modified Proteins Using Fluorescent Sumo-trapping Proteins
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Localization of SUMO-modified Proteins Using Fluorescent Sumo-trapping Proteins

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蛋白质中的局部.

Patrick Senet1, Adrien Guzzo2, Patrice Delarue1

  • 1Laboratoire Interdisciplinaire Carnot de Bourgogne ICB, UMR 6303, Université Bourgogne Europe, CNRS F-21000 Dijon France psenet@ube.fr +33 (0)3 80396132 +33 (0)3 80396130.

Chemical science
|January 26, 2026
PubMed
概括
此摘要是机器生成的。

我们开发了一个局部度指标来量化蛋白质的结构复杂性. 这种方法揭示了温度和突变如何改变蛋白质动态和构造组合.

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Localization of SUMO-modified Proteins Using Fluorescent Sumo-trapping Proteins
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Localization of SUMO-modified Proteins Using Fluorescent Sumo-trapping Proteins

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Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
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科学领域:

  • 蛋白质动力学和结构生物学
  • 计算生物物理学的计算生物物理.

背景情况:

  • 蛋白质作为动态组合存在,但温度和突变如何影响这些组合尚未得到充分理解.
  • 测量蛋白质波动的现有方法存在局限性.

研究的目的:

  • 为量化蛋白质结构复杂性引入一种新的局部度指标.
  • 研究温度和突变对蛋白质构成组合的影响.

主要方法:

  • 开发了基于香农和图形衍生的可访问子状态的局部度.
  • 利用了gpW蛋白和α-synuclein的分子动力学模拟.
  • 分析了残留物特定的曲线,并将其与其他波动指标进行了比较.

主要成果:

  • 局部显示了gpW蛋白质在点附近的急剧转变.
  • 其余物特定透揭示了不同的展开模式,取决于空间尺度.
  • 局部能捕捉到独特的特征,与可访问的体积和包装不同.
  • 帕金森病的α-synuclein突变降低了局部和扰乱了遥远的区域.

结论:

  • 局部提供了跨各种蛋白质状态的结构复杂性的连续测量.
  • 这一指标捕捉了因温度和突变而改变的构造组合的重塑.
  • 局部与NMR可观测值相关,为量化蛋白质乱提供了可概括的框架.