Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Synthetic Biology02:55

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
Introduction to Enzymes01:22

Introduction to Enzymes

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 bind the substrates and convert them into products. Many enzymes also...
Catalytically Perfect Enzymes01:07

Catalytically Perfect Enzymes

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.

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

"Nano-filter"-integrated AIMS with machine learning: direct exhaled breath analysis for lung cancer screening.

Chemical science·2026
Same author

Polymorphic phase engineering of flat plasmons in a correlated oxide.

Nanoscale·2026
Same author

Discussions on the generalization of HybridSP on more equivalent benchmarks.

Briefings in bioinformatics·2026
Same author

Analysis of BpbHLH Gene Family Responsive to MeJA Signalling in Betula platyphylla Suk. and Functional Mechanisms of BpbHLH42/44 in Genetic Improvement and Triterpenoid Biosynthesis.

Plant biotechnology journal·2026
Same author

zERExtractor: An Automated Platform for Enzyme-Catalyzed Reaction Data Extraction from Scientific Literature.

Journal of chemical information and modeling·2026
Same author

Competitive adsorption-driven CO<sub>2</sub>/N<sub>2</sub> separation in monolayer fullerene membranes with funnel-shaped pores.

Physical chemistry chemical physics : PCCP·2026

相关实验视频

Updated: May 12, 2026

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization
11:38

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization

Published on: October 24, 2011

15.4K

使用CataPro使用深度学习进行强大的酶发现和工程.

Zechen Wang1, Dongqi Xie2, Dong Wu2

  • 1School of Physics, Shandong University, Jinan, 250100, Shandong, China.

Nature communications
|March 20, 2025
PubMed
概括
此摘要是机器生成的。

这项研究介绍了CataPro,这是一种用于预测酶动力学参数的深度学习模型,例如周转数 (kcat) 和迈凯利斯常数 (Km). CataPro显示了改进的准确性和概括性,有助于酶的发现和修改.

更多相关视频

Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System
08:10

Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System

Published on: August 8, 2016

8.7K
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

932

相关实验视频

Last Updated: May 12, 2026

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization
11:38

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization

Published on: October 24, 2011

15.4K
Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System
08:10

Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System

Published on: August 8, 2016

8.7K
Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

932

科学领域:

  • 生物化学 生化学
  • 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:

  • 对酶动力学参数 (kcat,Km,kcat/Km) 的准确预测对于酶的探索和修改至关重要.
  • 现有的预测模型往往由于过度匹配问题而受到低准确度或糟糕的概括的影响.

研究的目的:

  • 开发一个准确和可概括的深度学习模型来预测酶动力学参数.
  • 评估拟议模型在公正数据集上的性能,并证明其在酶开采和工程中的实用性.

主要方法:

  • 开发了无偏见的数据集,用于严格评估酶运动参数预测方法.
  • 提出了CataPro,这是一个使用预训练模型和分子指纹的深度学习模型.
  • 预测的关键酶动力学参数:周转率 (kcat),迈凯利斯常数 (Km) 和催化效率 (kcat/Km).

主要成果:

  • 与基于无偏见数据集的基线模型相比,CataPro的准确性和概括能力显著提高.
  • 在一个酶开采项目中,CataPro与传统方法相结合,确定了一种酶 (SsCSO),其活性增加了19.53倍.
  • 鉴定出来的酶被成功改造,进一步提高了它的活性3.34倍.

结论:

  • CataPro是一种高效的深度学习工具,用于准确预测酶动力学参数.
  • 该模型显示了加速酶发现和促进酶修改工作的巨大潜力.
  • 这项工作强调了先进的计算方法在生物催化剂和酶工程中的实际应用.