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

5.5K
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...
5.5K
Amino Acid Biosynthetic Pathways01:29

Amino Acid Biosynthetic Pathways

994
Amino acid biosynthesis is essential for cell growth, protein synthesis, and metabolic regulation. Cells generate essential and non-essential amino acids from metabolic intermediates to sustain vital biological functions. These intermediates originate from key metabolic pathways: glycolysis, the tricarboxylic acid (TCA) cycle, and the pentose phosphate pathway. Important precursors include α-ketoglutarate, pyruvate, oxaloacetate, phosphoenolpyruvate, and erythrose-4-phosphate, which...
994
Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

1.6K
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
1.6K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

261
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
261
Other Glycolytic Pathways01:24

Other Glycolytic Pathways

781
The pentose phosphate pathway (PPP) operates in parallel with glycolysis, facilitating the metabolism of both pentoses and glucose. This pathway consists of two distinct phases: the oxidative and non-oxidative phases. While it does not directly generate ATP, the intermediates formed during the process can integrate into glycolysis, contributing to cellular energy metabolism when required.Oxidative Phase: NADPH ProductionThe oxidative phase of the pentose phosphate pathway is primarily...
781

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

Glutamate Ionotropic Kainate Receptors as Therapeutic Targets in Enzalutamide-Resistant and Neuroendocrine Prostate Cancer.

International journal of molecular sciences·2026
Same author

An Engineered Enzyme Catalyzing Tandem Reductive Aminations for Synthesizing Tertiary Amines.

Angewandte Chemie (International ed. in English)·2026
Same author

Bridging data gaps to support the Global Plastics Treaty.

Science (New York, N.Y.)·2026
Same author

Striatal functional connectivity alterations in mild cognitive impairment subtypes defined by CSF A/T biomarkers.

Frontiers in aging neuroscience·2026
Same author

A BIN2-SOG1 molecular module regulates replication stress response independently on ATR.

Science advances·2026
Same author

Chromosomal scale genome assembly of medicinal plant Sophora tonkinensis.

BMC genomics·2026

相关实验视频

Updated: Jan 8, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

18.4K

非自然路径设计的计算工具:算法,应用程序和挑战.

Yushuo Liu1,2, Fan Wei1, Xiaoping Liao1

  • 1Biodesign Center, Key Laboratory of Engineering Biology for Low-carbon Manufacturing, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, China.

Biodesign research
|December 19, 2025
PubMed
概括

研究人员正在开发非自然代谢途径来合成自然中缺少的有价值的化合物. 计算方法有助于设计这些途径,但预测和现实世界应用之间仍然存在差距,需要微生物细胞工厂的综合战略.

关键词:
生物甲合成生物甲合成生物转化 生物转化微生物细胞工厂是一个微生物细胞工厂.非自然的路径设计.合成生物学 合成生物学

更多相关视频

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.2K
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.7K

相关实验视频

Last Updated: Jan 8, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

18.4K
Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.2K
A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.7K

科学领域:

  • 合成生物学 合成生物学
  • 代谢工程是代谢工程.
  • 绿色化学 绿色化学

背景情况:

  • 生物转化对于可持续的化学合成至关重要.
  • 对于许多高价值化合物来说,自然途径是不够的,需要非自然途径.
  • 非自然途径面临诸如代谢负担和有毒中间体等挑战.

研究的目的:

  • 审查设计非自然代谢途径的计算方法.
  • 评估这些方法的实际应用和有效性.
  • 在合成生物学中弥合计算预测和实验可行性之间的差距.

主要方法:

  • 基于模板和无模板的计算路径设计方法的审查.
  • 55个经过实验验证的非自然途径的汇编和分析.
  • 模拟路径以确定预测和经验结果之间的差异.

主要成果:

  • 确定了当前计算路径设计工具的优点和局限性.
  • 突出了计算预测和实验结果之间的显著差距.
  • 证明了将计算工具与实验合成生物学集成的必要性.

结论:

  • 计算方法对于非自然路径设计是有价值的,但需要改进.
  • 弥合预测和实践之间的差距对于推进微生物细胞工厂至关重要.
  • 建议采取综合战略,以提高生物转化效率和范围.