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相关概念视频

Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance01:07

Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance

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Drug transporters are critical in drug absorption, distribution, and excretion processes. They should be included in physiological-based pharmacokinetic (PBPK) models, which help predict human drug disposition. However, predicting this is challenging during drug development, especially when liver transport is involved. However, with a realistic representation of body transport processes, an accurate model may be possible.
A recent model describes pravastatin's hepatobiliary excretion,...
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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...
621
Hepatic Drug Excretion: Influencing Factors01:16

Hepatic Drug Excretion: Influencing Factors

100
The biliary system of the liver, crucial for bile secretion and drug excretion, comprises intrahepatic bile ducts that merge to form the common hepatic duct. This duct, carrying hepatic bile, combines with the cystic duct, draining the gallbladder and forming the common bile duct, which empties into the duodenum. Bile, produced by hepatic cells lining the bile canaliculi, is composed primarily of water, bile salts, pigments, electrolytes, and lesser amounts of cholesterol and fatty acids. Bile...
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Drug Biotransformation: Overview01:16

Drug Biotransformation: Overview

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Pharmaceutical substances known as xenobiotics are predominantly lipophilic and nonionized. This enables them to permeate lipid bilayers, such as cell membranes, and interact with intracellular target receptors. Lipophilic drugs have an advantage in crossing biological barriers and reaching their intended sites of action. However, lipophilic drugs often have a restricted capacity for renal expulsion or elimination from the body. When these drugs enter the kidneys and undergo glomerular...
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Factors Affecting Dissolution: Drug Permeability, Stability and Stereochemistry01:20

Factors Affecting Dissolution: Drug Permeability, Stability and Stereochemistry

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Orally administered drugs primarily enter the systemic circulation via passive diffusion through the intestinal membranes. The drug's absorption is influenced by drug stability in the gastrointestinal GI tract, membrane permeability, the surface area available for absorption, luminal drug concentration, and residence time in the lumen. Drug permeability can be enhanced by adjusting the lipophilicity, polarity, or molecular size of the drug, promoting its passive transport across intestinal...
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Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
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相关实验视频

Updated: Jun 14, 2025

Free Radicals in Chemical Biology: from Chemical Behavior to Biomarker Development
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Free Radicals in Chemical Biology: from Chemical Behavior to Biomarker Development

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完善药物诱导胆固醇症预测:一个可解释的共识模型,整合化学和生物指纹.

Palle S Helmke1, Gerhard F Ecker1

  • 1Department of Pharmaceutical Sciences, University of Vienna, 1090 Vienna, Austria.

Journal of chemical information and modeling
|May 27, 2025
PubMed
概括

这项研究开发了一种计算模型,用于预测一种肝损伤类型的药物诱导胆固醇症 (DIC). 该模型整合了化学结构,肝脏点和传送器数据,改善了早期药物安全评估,减少了动物试验.

科学领域:

  • 药理学和毒理学 药理学和毒理学
  • 计算化学的计算化学
  • 系统生物学 系统生物学

背景情况:

  • 药物诱导性肝损伤 (DILI),特别是药物诱导性胆固醇 (DIC),在早期药物开发中构成了重大挑战.
  • 通过3R原则 (取代,减少,改进) 尽量减少动物试验对于道德和高效的药物安全性评估至关重要.

研究的目的:

  • 开发和验证一种用于预测药物诱导胆固醇形成 (DIC) 的计算方法.
  • 整合多种数据源,包括化学子结构,肝脏表达的标,途径和肝脏输送器抑制,以提高预测准确度.

主要方法:

  • 使用了PubChem基结构指纹和来自肝脏表达的点和途径的生物数据.
  • 整合了九个肝转运器抑制模型,并采用了下面的样本,以解决公共胆固醇定位数据中的类不平衡问题.
  • 应用目标预测工具来丰富化合物-目标相互作用矩阵,并使用扩展的共识模型与概率范围过.

主要成果:

  • 结合化学物质,途径和传送器数据的基线模型通过10倍交叉验证实现了0.29的马修斯相关系数 (MCC) 和0.79的灵敏度.
  • 功能重要性分析确定了白蛋白作为与胆固醇定位相关的潜在标.
  • 使用扩展共识模型和概率过的精细方法,改善了MCC为0.38的预测,灵敏度为0.80.

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结论:

  • 开发的计算方法通过整合化学和生物描述符,有效地预测药物诱导的胆固醇形成.
  • 该模型为早期药物安全性评估提供了可靠和可解释的工具,支持决策,并可能减少对动物试验的依赖.
  • 进一步研究像白蛋白这样的已识别的标是有必要的,以加深对胆固醇形成机制的理解.