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相关概念视频

Enzyme Kinetics01:19

Enzyme Kinetics

103.5K
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...
103.5K
Introduction to Enzymes01:22

Introduction to Enzymes

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The use of enzymes by humans dates to 7000 BCE. Humans first used enzymes to ferment sugars and produce alcohol without knowing that this was an enzyme-catalyzed reaction. Wilhelm Kuhne coined the term 'enzyme' in 1877 from the Greek words ‘en’ meaning ‘in’ or ‘within’ and ‘zyme’ meaning ‘yeast.’
Most enzymes are proteins that speed up biochemical reactions without being consumed. Enzymes contain one or more active sites that...
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Enzymes02:34

Enzymes

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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...
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Enzyme Inhibition01:30

Enzyme Inhibition

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Inhibitors are molecules that reduce enzyme activity by binding to the enzyme. In a normally functioning cell, enzymes are regulated by a variety of inhibitors. Drugs and other toxins can also inhibit enzymes. Some inhibitors bind to the enzyme’s active site, while others inhibit enzymatic activity by binding to other sites on the protein structure.
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Introduction to Enzyme Kinetics01:19

Introduction to Enzyme Kinetics

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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...
31.9K
Drug Discovery: Overview01:26

Drug Discovery: Overview

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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
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Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System
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CACLENS:一种用于酶发现的多任务深度学习系统.

Xilong Yi1, Yingzhu Tan1, Huikang Lin1

  • 1Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|December 8, 2025
PubMed
概括
此摘要是机器生成的。

新的深度学习框架CACLENS通过整合多模式学习和多任务预测来增强酶查. 它有效地识别工业应用的功能性酶,包括一种新型酶,以超过90%的效率降解泽拉伦.

关键词:
生物降解 生物降解酶查 酶查 酶查多任务深度学习合成生物学 合成生物学

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科学领域:

  • 生物技术和生物信息学
  • 计算生物学 计算生物学
  • 酵素工程是什么? 酶工程是什么

背景情况:

  • 深度学习模型擅长预测酶特性,但由于多模式和多任务学习的局限性,在高性能选方面遇到了困难.
  • 现有的方法缺乏在复杂的生物过程中有效发现酶所需的综合能力.

研究的目的:

  • 引入CACLENS (交叉注意力和对比学习支持的酶选择),这是一个新的多任务深度学习框架,旨在克服当前酶选方法的局限性.
  • 提高用于生物合成和生物降解应用的功能酶识别的预测准确性和效率.

主要方法:

  • 开发了CACLENS,这是一个多任务深度学习框架,利用定制门控制,对比学习和交叉注意力机制.
  • 整合反应类型分类,EC数量预测和反应可行性评估到一个统一的酶选管道中.
  • 应用CACLENS识别泽拉伦 (ZEN) 降解酶. 应用CACLENS识别泽拉伦 (ZEN) 降解酶.

主要成果:

  • 在减少计算资源的情况下,CACLENS在多任务预测方面表现强.
  • 成功预测了10种潜在的ZEN降解酶,其中一种可以实现ZEN及其类型α-ZOL的90%以上的降解效率.
  • 为CACLENS (https://ai.caclens.com/) 建立了一个用户友好的网络服务器,以促进酶发现.

结论:

  • 通过实现多模式和多任务预测,CACLENS显著提升了功能性酶的高性能选.
  • 该框架加速了工业酶的发现,这可以通过识别高效的Zearalenone降解酶来证明.
  • 可访问的Web服务器使研究人员能够为各种应用发现新的催化元素.