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相关概念视频

Catalytically Perfect Enzymes01:07

Catalytically Perfect Enzymes

4.1K
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...
4.1K
Turnover Number and Catalytic Efficiency01:19

Turnover Number and Catalytic Efficiency

10.7K
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....
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Introduction to Enzyme Kinetics01:19

Introduction to Enzyme Kinetics

20.8K
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...
20.8K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

8.6K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
8.6K
Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

8.7K
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...
8.7K
Enzyme Kinetics01:19

Enzyme Kinetics

98.7K
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...
98.7K

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相关实验视频

Updated: Sep 8, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

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来自单一路径采样模拟的催化循环的最佳动力学.

Peter G Bolhuis1

  • 1van 't Hoff Institute for Molecular Sciences, University of Amsterdam, Amsterdam 1090 GD, The Netherlands.

Proceedings of the National Academy of Sciences of the United States of America
|July 24, 2025
PubMed
概括
此摘要是机器生成的。

优化催化剂效率在计算上具有挑战性. 这项研究引入了一种新的路径重权方法,可有效优化催化循环,显著提高反应速率并揭示机械洞察力.

关键词:
吉尔萨诺夫重新加权微动力学就是微动力学.分子动力学分子动力学过渡界面采样 过渡界面采样

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Steady-state, Pre-steady-state, and Single-turnover Kinetic Measurement for DNA Glycosylase Activity
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Steady-state, Pre-steady-state, and Single-turnover Kinetic Measurement for DNA Glycosylase Activity

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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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Last Updated: Sep 8, 2025

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

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Steady-state, Pre-steady-state, and Single-turnover Kinetic Measurement for DNA Glycosylase Activity
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Steady-state, Pre-steady-state, and Single-turnover Kinetic Measurement for DNA Glycosylase Activity

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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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科学领域:

  • 计算化学计算化学
  • 催化科学 催化科学
  • 化学动力学 化学动力学

背景情况:

  • 催化剂效率是由分子结构和基质相互作用决定的.
  • 为所需的动力学优化催化循环是计算密集的,特别是在溶解系统中.

研究的目的:

  • 为优化催化循环开发一种高效的计算方法.
  • 为了证明路径重权重对调节催化剂参数和理解速率优化机制的能力.

主要方法:

  • 应用基于最大口径的路径重权方法.
  • 执行单个路径采样模拟以生成路径合集.
  • 在单个参数设置周围扩展动态景观.

主要成果:

  • 在催化周转率和效率方面取得了数量级的改进.
  • 确定了诱导系统应变的最佳参数.
  • 揭示了速率优化的机械起源.

结论:

  • 基于路径重权的优化为设计高效催化剂提供了一种具有成本效益的方法.
  • 该方法非常通用,适用于复杂的系统,如酶信号传递.
  • 这种方法承诺使用现实的分子模型进行催化剂的高效计算设计.