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相关概念视频

Catalytically Perfect Enzymes01:07

Catalytically Perfect Enzymes

3.8K
The theory of catalytically perfect enzymes was first proposed by W.J. Albery and J. R. Knowles in 1976. These enzymes catalyze biochemical reactions at high-speed. Their catalytic efficiency values range from 108-109 M-1s-1. These enzymes are also called 'diffusion-controlled' as the only rate-limiting step in the catalysis is that of the substrate diffusion into the active site. Examples include triose phosphate isomerase, fumarase, and superoxide dismutase.
 
Most enzymes...
3.8K
Turnover Number and Catalytic Efficiency01:19

Turnover Number and Catalytic Efficiency

9.7K
The turnover number of an enzyme is the maximum number of substrate molecules it can transform per unit time. Turnover numbers for most enzymes range from 1 to 1000 molecules per second. Catalase has the known highest turnover number, capable of converting up to 2.8×106 molecules of hydrogen peroxide into water and oxygen per second. Lysozyme has the lowest known turnover number of half a molecule per second.
Chymotrypsin is a pancreatic enzyme that breaks down proteins during digestion....
9.7K
Enzyme Kinetics01:19

Enzyme Kinetics

95.1K
Enzymes speed up reactions by lowering the activation energy of the reactants. The speed at which the enzyme turns reactants into products is called the rate of reaction. Several factors impact the rate of reaction, including the number of available reactants. Enzyme kinetics is the study of how an enzyme changes the rate of a reaction.
Scientists typically study enzyme kinetics with a fixed amount of enzyme in the controlled environment of a test tube. When more reactant, or substrate, is...
95.1K
Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

7.8K
For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes...
7.8K
Introduction to Enzyme Kinetics01:19

Introduction to Enzyme Kinetics

19.5K
Enzyme kinetics studies the rates of biochemical reactions. Scientists monitor the reaction rates for a particular enzymatic reaction at various substrate concentrations. Additional trials with inhibitors or other molecules that affect the reaction rate may also be performed.
The experimenter can then plot the initial reaction rate or velocity (Vo) of a given trial against the substrate concentration ([S]) to obtain a graph of the reaction properties. For many enzymatic reactions involving a...
19.5K
Factors Affecting Activity Coefficient01:17

Factors Affecting Activity Coefficient

674
The extended Debye-Hückel equation indicates that the activity coefficient of an ion in an aqueous solution at 25°C depends on three partially interdependent properties: the ionic strength of the solution, the charge of the ion, and the ion size. 
The activity coefficient value for an ion is close to one when the solution has almost zero ionic strength, i.e., when the solution shows close to ideal behavior. As the ionic strength of the solution increases from 0 to 0.1 mol/L, a...
674

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相关实验视频

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Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes
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Unraveling Entropic Rate Acceleration Induced by Solvent Dynamics in Membrane Enzymes

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探索进化合假说:酶的性能增长是否与增加的消耗相关?

Davor Juretić1

  • 1Faculty of Science, University of Split, Ruđera Boškovića 33, 21000 Split, Croatia.

Entropy (Basel, Switzerland)
|April 26, 2025
PubMed
概括

生物进化通过专门的酶驱动生命,这些酶增强了自由能量消散. 这一过程对于热力学进化至关重要,优化了酶的功能和效率.

科学领域:

  • 生物物理学的生物物理.
  • 生物化学 生物化学
  • 进化生物学 进化生物学

背景情况:

  • 关于消耗在生物系统中的作用存在不同的观点,从微不足道到必不可少.
  • 热力学进化是由产生的,在生物学上经常被忽视.

研究的目的:

  • 研究酶动力学,消散和生物进化之间的关系.
  • 在稳定状态条件下量化酶相关的消散.

主要方法:

  • 使用最小化的酶动力学模型计算了与酶相关的消散.
  • 在稳定状态条件下分析了已知微观速率常数的酶动力学.

主要成果:

  • 消散与酶周转数成正比.
  • 在消散和催化效率之间存在日志-日志功率定律关系.
  • 高度专业化的酶显示出最高的消散率,表明进化进步.

结论:

  • 生物进化通过专门的酶增强了自由能量消散.
  • 酶进化很可能会从通用主义者发展到专家,随着消散的增加.
  • 随机噪声可以优化超出观察值的酶动力学.
关键词:
催化效率的催化效率是什么消散的消散是一种消散.的生产产生.进化 演化 演化 演化 演化 演化 演化 演化一般的酶是一般的酶.动力常数是动力常数.缩放规则的法律,缩放规则的法律.专门的酶是专门的酶.随机噪声 随机噪声是指随机的噪声.营业额的数量 营业额的数量

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