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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...
Bioreactor Design and Operational System01:29

Bioreactor Design and Operational System

Bioreactors are engineered vessels designed to cultivate microorganisms under controlled conditions for industrial bioprocessing. They maintain sterility and allow precise regulation of pH, temperature, oxygen, and nutrient levels to optimize microbial growth and metabolite production. Bioreactors range from small laboratory units of 1 liter to industrial systems holding up to 500,000 liters, though only about 75% of their volume is actively used for fermentation. The remaining headspace...
Designing Growth Media for Bioreactors01:30

Designing Growth Media for Bioreactors

Growth media provide essential nutrients that support cell growth and metabolism, thereby enhancing the yield of valuable products such as enzymes, antibiotics, and biomass. Designing an effective growth medium involves balancing all components to prevent nutrient limitations or toxic excesses, both of which can impair growth and reduce product yields.Composition of a Typical Growth MediumA typical growth medium contains carbon and nitrogen sources, salts, vitamins, trace elements, and...

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Updated: Jun 23, 2026

BioMEMS: Forging New Collaborations Between Biologists and Engineers
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teemi:一种开源的识字编程方法,用于生物工程中的代设计-构建-测试-学习周期.

Søren D Petersen1, Lucas Levassor1,2, Christine M Pedersen1

  • 1Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kgs. Lyngby, Denmark.

PLoS computational biology
|March 8, 2024
PubMed
概括

我们开发了teemi,这是一个开源平台,用于合成生物学数据管理和分析. 它促进了工程生物系统的设计-构建-测试-学习循环,包括用于制药化合物生产的代谢途径设计.

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科学领域:

  • 合成生物学 合成生物学
  • 计算生物学是一种计算生物学.
  • 生物工程是生物工程.

背景情况:

  • 合成生物学依赖于生物系统的数据驱动工程.
  • 根据FAIR原则处理复杂的生物数据对于高效的工程至关重要.
  • 现有的工具往往缺乏用于模拟和数据集成的用户友好的界面.

研究的目的:

  • 开发一个开源的,符合FAIR的平台,用于合成生物学中的计算机辅助设计和分析.
  • 为工程生物系统提供用户友好的模拟,组织和指导.
  • 应用该平台来设计,模拟和优化代谢途径.

主要方法:

  • 开发teemi,一个基于Python的,在GitHub上托管的识字编程平台.
  • 应用teemi用于设计和模拟生物工程工作流程.
  • 使用teemi.com集成和分析多变量数据集.
  • 利用机器学习进行代谢途径的预测工程.

主要成果:

  • 展示了teemi在设计和模拟生物工程任务中的应用.
  • 成功集成和分析复杂的多变量数据集.
  • 应用机器学习用于预测工程的代谢途径,用于酵母酵母中类前体的生产.
  • teemi平台是公开的,符合FAIR标准.

结论:

  • teemi平台为合成生物学数据管理和分析提供了一个用户友好的,符合FAIR的解决方案.
  • 它支持代的设计-构建-测试-学习循环,增强生物系统的工程.
  • teemi促进了用于预测代谢工程的机器学习应用,有助于生产有价值的化合物.