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相关概念视频

Overview of Metabolism01:40

Overview of Metabolism

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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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Drug Metabolism: Phase II Reactions01:14

Drug Metabolism: Phase II Reactions

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Phase II reactions are essential for the detoxification and elimination of drugs from the body. These reactions involve the conjugation of parent drugs or their phase I metabolites with endogenous molecules, resulting in more hydrophilic drug conjugates. The primary conjugation reactions in this phase are sulfation and glucuronidation. Both sulfation and glucuronidation typically produce biologically inactive metabolites. However, in some cases involving prodrugs, active metabolites may be...
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Drug Metabolism: Phase I Reactions01:17

Drug Metabolism: Phase I Reactions

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A phase I reaction is a biochemical process that introduces a functionally reactive polar group to a substance. This transformation predominantly occurs in the liver, facilitated by the cytochrome P450 system of hemoproteins situated in the lipophilic endoplasmic reticulum of cells. The metabolite generated through this process can have varying polarities. If it is sufficiently polar, it can be easily excreted in the urine due to its water compatibility. However, if the metabolite is nonpolar,...
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Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

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Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
653
Gas Chromatography–Mass Spectrometry (GC–MS)01:14

Gas Chromatography–Mass Spectrometry (GC–MS)

4.1K
Gas chromatography–mass spectrometry (GC–MS) is the combination of analytical techniques of gas chromatography and mass spectrometry in a single instrument for analyzing a mixture of compounds. The gas chromatograph separates the compounds in the mixture, and the mass spectrometer analyzes each compound separately to determine the molecular masses and molecular structures.
A gas chromatograph consists of a long, narrow capillary column with a polysiloxane coating on the inner wall....
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Overview of Fatty Acid Metabolism01:28

Overview of Fatty Acid Metabolism

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Lipids also are sources of energy that power cellular processes. Like carbohydrates, lipids are composed of carbon, hydrogen, and oxygen, but these atoms are arranged differently. Most lipids are nonpolar and hydrophobic. Major types include fats and oils, waxes, phospholipids, and steroids.
Fatty acids are catabolized in a process called beta-oxidation, which takes place in the matrix of the mitochondria and converts their fatty acid chains into two-carbon units of acetyl groups. The acetyl...
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相关实验视频

Updated: Jun 24, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

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共同的数据模型以简化代谢学处理和注释,并在Python管道中实现.

Joshua M Mitchell1, Yuanye Chi1, Maheshwor Thapa1

  • 1The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, United States of America.

PLoS computational biology
|June 6, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了一个Python管道,以标准化代谢学数据分析,提高计算效率和数据质量. 新工具简化了LC-MS和脂管学数据的处理,质量控制和注释.

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An Integrated Workflow of Identification and Quantification on FDR Control-Based Untargeted Metabolome
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科学领域:

  • 计算生物学 计算生物学
  • 代谢学 代谢学 代谢学
  • 生物信息学是一种生物信息学.

背景情况:

  • 标准化数据结构对于可复制代谢学数据分析至关重要.
  • 现有的计算工具缺乏基于Python的全面解决方案,用于代谢学工作流程.

研究的目的:

  • 开发和介绍一个以Python为中心的管道,用于标准化代谢学数据处理.
  • 为了促进未来在代谢学领域的计算进步.

主要方法:

  • 开发一个Python管道,其中包含了对代谢学定义良好的数据结构.
  • 该管道应用于大规模的LC-MS代谢学,脂管学和LC-MS/MS数据集.
  • 对公开可用的数据集进行重新分析,以证明其有用性.

主要成果:

  • 证明了高效和透明的数据处理,质量控制和注释.
  • 在各种代谢学和脂质学数据上验证了管道性能.
  • 通过对已发表的数据集进行重新分析,展示了生物数据分析的实用性.

结论:

  • 开发的Python管道解决了计算代谢学生态系统中的一个重大差距.
  • 这项工作使得精简,高效和标准化的代谢学数据分析成为可能.
  • 促进可重现的研究和未来的代谢学计算发展.