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相关概念视频

Calculating Standard Free Energy Changes02:49

Calculating Standard Free Energy Changes

20.6K
The free energy change for a reaction that occurs under the standard conditions of 1 bar pressure and at 298 K is called the standard free energy change. Since free energy is a state function, its value depends only on the conditions of the initial and final states of the system. A convenient and common approach to the calculation of free energy changes for physical and chemical reactions is by use of widely available compilations of standard state thermodynamic data. One method involves the...
20.6K
Gibbs Free Energy and Thermodynamic Favorability02:23

Gibbs Free Energy and Thermodynamic Favorability

6.7K
The spontaneity of a process depends upon the temperature of the system. Phase transitions, for example, will proceed spontaneously in one direction or the other depending upon the temperature of the substance in question. Likewise, some chemical reactions can also exhibit temperature-dependent spontaneities. To illustrate this concept, the equation relating free energy change to the enthalpy and entropy changes for the process is considered:
6.7K
Gibbs Free Energy02:39

Gibbs Free Energy

32.6K
One of the challenges of using the second law of thermodynamics to determine if a process is spontaneous is that it requires measurements of the entropy change for the system and the entropy change for the surroundings. An alternative approach involving a new thermodynamic property defined in terms of system properties only was introduced in the late nineteenth century by American mathematician Josiah Willard Gibbs. This new property is called the Gibbs free energy (G) (or simply the free...
32.6K
Energy Diagrams, Transition States, and Intermediates02:13

Energy Diagrams, Transition States, and Intermediates

16.0K
Free-energy diagrams, or reaction coordinate diagrams, are graphs showing the energy changes that occur during a chemical reaction. The reaction coordinate represented on the horizontal axis shows how far the reaction has progressed structurally. Positions along the x-axis close to the reactants have structures resembling the reactants, while positions close to the products resemble the products.  Peaks on the energy diagram represent stable structures with measurable lifetimes, while...
16.0K
Free Energy Changes for Nonstandard States03:25

Free Energy Changes for Nonstandard States

10.8K
The free energy change for a process taking place with reactants and products present under nonstandard conditions (pressures other than 1 bar; concentrations other than 1 M) is related to the standard free energy change according to this equation:
 
where R is the gas constant (8.314 J/K·mol), T is the absolute temperature in kelvin, and Q is the reaction quotient. This equation may be used to predict the spontaneity of a process under any given set of conditions.
Reaction Quotient...
10.8K
¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

1.2K
A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied...
1.2K

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Updated: May 29, 2025

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
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Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

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从分割概率来评估多个状态的自由能量概况.

Rohan Singh1, Parbati Biswas1

  • 1Department of Chemistry, University of Delhi, Delhi 110007, India.

The Journal of chemical physics
|February 7, 2025
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概括
此摘要是机器生成的。

这项研究提出了一种新的分析模型,用于分析DNA毛折叠-展开过渡. 该模型准确地预测了生物分子动力学和自由能量概况,有助于理解复杂的细胞环境.

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Isotopic Effect in Double Proton Transfer Process of Porphycene Investigated by Enhanced QM/MM Method
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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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科学领域:

  • 生物物理学的生物物理.
  • 计算生物学 计算生物学
  • 分子动力学分子动力学

背景情况:

  • 单分子实验对于研究机械力下的生物分子结构转变至关重要.
  • 提交函数是确定这些转换的激活障碍的关键.
  • 了解细胞环境中的DNA发针动态对于分子生物学来说至关重要.

研究的目的:

  • 开发一个分析模型,用于对多态DNA发针动态的提交者分析.
  • 为了研究复杂的细胞环境中的DNA毛形状变化.
  • 为了准确地模拟折叠-展开过渡,使用一般化的朗格温方程.

主要方法:

  • 利用一个通用的朗格温方程与一个一般的不对称的双位潜力和功率法则摩擦记忆内核.
  • 为概率密度函数,第一个通道时间分布和committor.derived精确的分析表达式.
  • 模型结果与指导分子动力学模拟和实验数据进行了比较.

主要成果:

  • 分析模型成功地捕获了DNA发针的折叠-展开动态.
  • 该模型复制了具有不对称能源障碍的多状态自由能源配置文件.
  • 研究了链接器刚度,屏障高度和潜在不对称性的影响.

结论:

  • 拟议的分析模型提供了对DNA毛形状动态的准确见解.
  • 这种方法增强了对复杂细胞环境中的生物分子转换的理解.
  • 该模型能够复制实验和模拟数据的能力验证了它的实用性.