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相关概念视频

Catalytically Perfect Enzymes01:07

Catalytically Perfect Enzymes

4.0K
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...
4.0K
Turnover Number and Catalytic Efficiency01:19

Turnover Number and Catalytic Efficiency

10.2K
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....
10.2K
Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

8.2K
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...
8.2K

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相关实验视频

Updated: Jul 9, 2025

Imine Metathesis by Silica-Supported Catalysts Using the Methodology of Surface Organometallic Chemistry
09:37

Imine Metathesis by Silica-Supported Catalysts Using the Methodology of Surface Organometallic Chemistry

Published on: October 18, 2019

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面向化催化剂优化 在化催化剂优化方面

Matthew D Wodrich1, Rubén Laplaza2, Nicolai Cramer3

  • 1Laboratory of Computational Molecular Design, Institute of Chemical Sciences and Engineering, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, . matthew.wodrich@epfl.ch.

Chimia
|December 4, 2023
PubMed
概括
此摘要是机器生成的。

这项研究提出了一个计算管道,用于预测同质催化中的反体比率. 该SCINE Molassembler模块可以快速探索用于in silico催化剂设计和优化的过渡状态.

关键词:
计算化学是一种计算化学.具有反选择性 (enantioselectivity) 的一个特性.一致性催化剂的同质性.过渡金属是一种过渡金属.

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Author Spotlight: Accelerating Discovery in Microporous Material Chemistry
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Author Spotlight: Accelerating Discovery in Microporous Material Chemistry

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相关实验视频

Last Updated: Jul 9, 2025

Imine Metathesis by Silica-Supported Catalysts Using the Methodology of Surface Organometallic Chemistry
09:37

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Author Spotlight: In Silico Creation and Impact of Carbonylated Amino Acids on Protein Structure and Function
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科学领域:

  • 计算化学的计算化学
  • 催化科学 催化科学

背景情况:

  • 准确预测等离子比率对于同质的催化反应至关重要.
  • 在催化剂设计需要有效的方法来探索反应路径.

研究的目的:

  • 介绍一条计算管道,用于在同质催化中复制等离子比率.
  • 为了快速探索替代剂对酶选择活性的影响.

主要方法:

  • 使用SCINE Molassembler模块进行分子构造.
  • 生成过渡状态对应物的集合.
  • 分析替代剂对等离子体比率的影响.

主要成果:

  • 在同质的催化反应中,成功地复制了等离子比率.
  • 促进了替代剂对酶选择性影响的探索.
  • 提供快速可靠的访问能源低过渡状态.

结论:

  • 开发的管道有助于在in silico催化剂优化.
  • 能够测试和改进催化剂设计模型.
  • 加快有效的同质催化剂的发现.