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相关概念视频

Introduction to Metabolism01:30

Introduction to Metabolism

63
Metabolism encompasses all biochemical reactions in a living organism, facilitating both the breakdown and synthesis of biomolecules. These metabolic processes are categorized into catabolic and anabolic pathways, which operate in a coordinated manner to ensure energy balance and cellular function.Catabolic Pathways and Energy ReleaseCatabolic pathways involve the breakdown of complex macromolecules such as carbohydrates, lipids, and proteins into smaller structures like monosaccharides, fatty...
63
Amino Acid Biosynthetic Pathways01:29

Amino Acid Biosynthetic Pathways

28
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...
28
Other Glycolytic Pathways01:24

Other Glycolytic Pathways

31
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...
31
Respiration Pathways01:26

Respiration Pathways

33
Cellular respiration is a fundamental metabolic process that enables organisms to generate energy from organic molecules. One of its central pathways is the tricarboxylic acid (TCA) cycle, also known as the Krebs cycle, which plays a crucial role in energy production and biosynthetic processes.Conversion of Pyruvate to Acetyl-CoAThe pyruvate generated from glycolysis undergoes oxidative decarboxylation by the pyruvate dehydrogenase complex, producing acetyl-CoA, one molecule of NADH, and one...
33
What is Metabolism?00:52

What is Metabolism?

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Overview
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Overview of Metabolism01:40

Overview of Metabolism

30.7K
Living cells constantly carry out various chemical reactions which are necessary for their proper functioning. These reactions are interlinked to one another via multiple pathways. The collection of these chemical reactions is known as metabolism.
Plant Metabolism
Sunlight, the primary source of energy in plants, is first absorbed by the chlorophyll pigments present in their leaves. Plants then use this energy to carry out photosynthesis, where water is oxidized into oxygen and carbon dioxide...
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Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
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深度学习用于代谢途径设计.

Gahyeon Ryu1, Gi Bae Kim1, Taeho Yu1

  • 1Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Four), KAIST Institute for BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea; Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory, KAIST, Daejeon, 34141, Republic of Korea.

Metabolic engineering
|September 21, 2023
PubMed
概括
此摘要是机器生成的。

数字工具和深度学习加速了微生物细胞工厂的设计,以实现基于生物的循环经济. 这些策略有助于对代谢途径的预测和酶的发现,这对于可持续的化学生产至关重要.

关键词:
深度学习是一种深度学习.发现了酶的发现.机器学习 机器学习代谢途径的设计系统代谢工程系统代谢工程

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科学领域:

  • 生物技术是生物技术.
  • 合成生物学 合成生物学
  • 计算生物学 计算生物学

背景情况:

  • 转向生物循环经济对于减缓气候变化和可持续发展至关重要.
  • 微生物细胞工厂是生产各种化学品和材料的关键.
  • 设计新的代谢途径对于创建高效的微生物细胞工厂至关重要,特别是对于未知生物合成路径的化合物.

研究的目的:

  • 评估用于代谢途径预测和酶发现的数字策略.
  • 探索深度学习在设计微生物细胞工厂中的应用.
  • 评估计算工具在推动生物循环经济方面的潜力.

主要方法:

  • 对代谢路径设计的数字策略的审查.
  • 分析计算机支持的工具,用于途径预测和酶发现.
  • 检查最近深度学习的进展,以预测代谢途径.

主要成果:

  • 数字策略和计算工具简化了代谢路径设计的复杂过程.
  • 深度学习技术在改善路径预测准确性方面显示出显著的前景.
  • 这些进步有助于开发更高效的微生物细胞工厂.

结论:

  • 计算工具,特别是深度学习,对于设计代谢途径和加速微生物细胞工厂的发展至关重要.
  • 利用这些数字战略可以显著加快建立基于生物的循环经济.
  • 集成先进的计算方法是释放合成生物学的全部潜力以实现可持续生产的关键.