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相关概念视频

Molecular Models02:00

Molecular Models

Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules.
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...
Carbohydrate Metabolism01:36

Carbohydrate Metabolism

Carbohydrates are polymers composed of molecules containing atoms of carbon, hydrogen and oxygen. One gram of carbohydrate can provide four kilo-calories of energy, which makes it the most efficient instant energy source.
Starch accounts for approximately 60% of the carbohydrates consumed by humans. Since amylase enzymes cannot function in the stomach's acidic environment, starch can only be digested in the mouth and small intestine. Simple sugars are found naturally in milk and fruits in the...
Carbohydrate Metabolism01:36

Carbohydrate Metabolism

Carbohydrates are polymers composed of molecules containing atoms of carbon, hydrogen and oxygen. One gram of carbohydrate can provide four kilo-calories of energy, which makes it the most efficient instant energy source.
Starch accounts for approximately 60% of the carbohydrates consumed by humans. Since amylase enzymes cannot function in the stomach's acidic environment, starch can only be digested in the mouth and small intestine. Simple sugars are found naturally in milk and fruits in the...
Multicompartment Models: Overview01:14

Multicompartment Models: Overview

Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...

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相关实验视频

Updated: Jun 21, 2026

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
08:03

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

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CarveAdornCurate:一个基于云的多功能平台,用于构建多尺度代谢模型.

Yang Cheng1, Wenwen Yu1, Xinyu Bi1

  • 1Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, Jiangnan University, Wuxi, 214122, China; Science Center for Future Foods, Jiangnan University, Wuxi 214122, China.

Trends in biotechnology
|March 5, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了CarveAdornCurate (CAC),这是一个新的工作流程,用于新的多尺度建模. CAC简化了复杂细胞模型的创建,使它们更容易用于研究和代谢工程应用.

关键词:
卡维Adorn 准确的 正确的基于云的Web工具,基于云的Web工具.基因组规模的代谢模型机器学习是机器学习.多尺度建模模型的使用.

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科学领域:

  • 系统生物学 系统生物学
  • 代谢工程是代谢工程.
  • 计算生物学 计算生物学

背景情况:

  • 多尺度建模为细胞功能提供了洞察力,但受到基因组规模代谢模型 (GEM) 复杂创建的阻碍.
  • 目前用于构建多尺度模型的方法耗时,需要大量的手工策划,限制了它们的广泛采用.

研究的目的:

  • 引入一个新的,自动化工作流程,CarveAdornCurate (CAC),用于 de novo构建多尺度模型.
  • 提高生物研究复杂细胞模型的可访问性和效率.

主要方法:

  • 卡维模块生成了一组基因支持的GEMs.
  • 装饰模块将这些GEM升级为多尺度模型.
  • 库拉特模块识别了生成模型中的关键特征.
  • 集成到基于云的平台,以实现用户可访问性.

主要成果:

  • 成功构建了基于CAC的多尺度模型,用于Corynebacterium glutamicum和Yarrowia lipolytica.
  • 证明了CAC模型在指导代谢工程策略方面的潜力.
  • 验证CAC作为一个高效和用户友好的工具,用于多尺度模型的生成.

结论:

  • CAC为新的多尺度模型构建提供了高效和可访问的解决方案.
  • 工作流简化了流程,克服了现有方法的局限性.
  • 通过使模型开发更容易,CAC促进了系统生物学和代谢工程的进步.