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相关概念视频

Enzymes02:34

Enzymes

81.2K
Inside living organisms, enzymes act as catalysts for many biochemical reactions involved in cellular metabolism. The role of enzymes is to reduce the activation energies of biochemical reactions by forming complexes with its substrates. The lowering of activation energies favor an increase in the rates of biochemical reactions.
Enzyme deficiencies can often translate into life-threatening diseases. For example, a genetic abnormality resulting in the deficiency of the enzyme G6PD...
81.2K
Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

8.0K
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...
8.0K
Induced-fit Model01:13

Induced-fit Model

80.6K
Most chemical reactions in cells require enzymes—biological catalysts that speed up the reaction without being consumed or permanently changed. They reduce the activation energy needed to convert the reactants into products. Enzymes are proteins, that usually work by binding to a substrate—a reactant molecule that they act upon.
Enzymes exhibit substrate specificity, meaning that they can only bind to certain substrates. This is mainly determined by the shape and chemical...
80.6K

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相关实验视频

Updated: Jun 14, 2025

A Toolkit to Enable Hydrocarbon Conversion in Aqueous Environments
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A Toolkit to Enable Hydrocarbon Conversion in Aqueous Environments

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通过环境交互映射自动化基质活性分析.

Thiago H da Silva1, Jalen Lu1, Zayah Cortright1

  • 1Department of Chemistry and Biochemistry, Boise, Idaho 83725, United States.

Journal of chemical information and modeling
|May 29, 2025
PubMed
概括
此摘要是机器生成的。

这项研究提出了一种新的自动化方法来探索原子和分子如何与表面相互作用. 它使用对称不变特征和机器学习来有效和全面地分析交互站点,即使是复杂的系统.

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Metabolic Mapping: Quantitative Enzyme Cytochemistry and Histochemistry to Determine the Activity of Dehydrogenases in Cells and Tissues
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Metabolic Mapping: Quantitative Enzyme Cytochemistry and Histochemistry to Determine the Activity of Dehydrogenases in Cells and Tissues

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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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Metabolic Mapping: Quantitative Enzyme Cytochemistry and Histochemistry to Determine the Activity of Dehydrogenases in Cells and Tissues
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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算化学计算化学
  • 表面科学是一门学科.

背景情况:

  • 了解基质-吸附剂相互作用对于催化,溶解和分子识别至关重要.
  • 确定交互配置的传统方法往往缺乏效率,并与低对称性或不太了解的系统作斗争.

研究的目的:

  • 开发一种系统和自动化的方法来探索基质-吸附剂配置空间.
  • 为了使交互点的全面和不冗余的抽样,独立于基板维度.

主要方法:

  • 定义和分离基板周围的接触空间.
  • 使用对称不变描述符来描述局部原子环境.
  • 使用无监督机器学习进行交互站点的集群和层次分析.

主要成果:

  • 这种自动化方法成功地恢复了对称直觉,并在理想基板上识别了高对称位点.
  • 该方法证明了适应性和无适用于对称度较低的基板.
  • 实现了配置空间的全面和非冗余采样.

结论:

  • 这种新的方法提供了一种有效和系统的方式来探索复杂的交互配置.
  • 这种方法广泛适用于各种需要研究表面相互作用的科学领域.
  • 它克服了传统方法的局限性,特别是对于缺乏高对称性的系统.