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相关概念视频

Bioavailability: Overview01:13

Bioavailability: Overview

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Bioavailability refers to the proportion of an unaltered drug that, after administration, enters the systemic circulation and can be distributed to the desired action site. Factors such as gastrointestinal (GI) absorption and liver biotransformation influence the bioavailability of a drug when it is administered orally. When a drug is administered intravenously, it enters the systemic circulation directly; by definition, its bioavailability is assumed to be 100%. The bioavailability of an...
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Determination of Renal Drug Clearance: Graphical and Midpoint Methods01:07

Determination of Renal Drug Clearance: Graphical and Midpoint Methods

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Renal clearance, a crucial parameter in pharmacokinetics, can be determined using two different methods: the graphical method and the midpoint method. These methods provide insights into the rate of drug excretion by the kidneys and aid in assessing renal function.
The graphical method involves plotting the rate of drug excretion in urine against the plasma drug concentration. By analyzing the graph, the clearance can be calculated and obtained. Drugs rapidly excreted by the kidneys exhibit a...
156
Factors Influencing Bioavailability: First-Pass Elimination01:23

Factors Influencing Bioavailability: First-Pass Elimination

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When a drug is taken orally, it undergoes a journey starting from the gastrointestinal (GI) tract, passing through the portal vein, reaching the liver, and finally entering the systemic circulation. This process involves the absorption of the drug across the GI tract. The liver is the primary site for metabolizing the drug, with some metabolism also occurring in the gut wall. This journey significantly reduces the quantity of the drug that reaches the systemic circulation, a phenomenon known as...
6.5K
Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs01:21

Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs

1.7K
The fundamental mathematical principles, such as calculus and graphs, play crucial roles in analyzing drug movement and determining pharmacokinetic parameters. Differential calculus examines rates of change and helps to determine the dissolution rate of drugs in biofluids, as well as how drug concentrations change over time. For instance, it can help calculate the rate of elimination of a drug from the body based on its concentration-time profile.
On the other hand, integral calculus focuses on...
1.7K
Factors Influencing Drug Absorption: Presystemic Elimination01:24

Factors Influencing Drug Absorption: Presystemic Elimination

263
The pharmacokinetic journey of oral drugs begins with a crucial first pass through the hepatic portal system, called the first-pass effect. This first pass significantly impacts bioavailability — the proportion of a drug that enters systemic circulation and is available for therapeutic action. The primary route sees the drug absorbed by intestinal membranes and then shunted to the liver via the hepatic portal vein. Here, pre-systemic elimination occurs as drugs face metabolism or biliary...
263
Nonlinear Pharmacokinetics: Bioavailability and Protein-Drug Binding01:22

Nonlinear Pharmacokinetics: Bioavailability and Protein-Drug Binding

209
When a drug follows nonlinear pharmacokinetics, its bioavailability, the amount of the drug that reaches the systemic circulation, can change with different doses. This is due to the presence of a saturable pathway. The pathway becomes saturated as the drug concentration increases, decreasing the absorption rate. Consequently, the drug's bioavailability may be lower than expected at higher doses.
To quantify the extent of bioavailability, pharmacologists often use a parameter called .
209

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相关实验视频

Updated: Jul 19, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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评估使用图形神经网络和转移学习用于口服生物可用性预测.

Sherwin S S Ng1, Yunpeng Lu1

  • 1School of Chemistry, Chemistry Engineering and Biotechnology, Nanyang Technological University, 21 Nanyang Link, Singapore 637371, Singapore.

Journal of chemical information and modeling
|August 15, 2023
PubMed
概括

带有转移学习的图形神经网络 (GNN) 准确预测口服生物可用性,这是药物发现的关键因素. 这种方法自动化了特征选择,改进了预测药物吸收的传统方法.

科学领域:

  • 药理动力学 药理动力学
  • 计算化学的计算化学
  • 药物发现 药物发现 药物发现

背景情况:

  • 口服生物可用性对于药物发现至关重要,影响治疗疗效.
  • 传统的计算模型依赖于手动功能选择,需要领域专业知识和时间.
  • 图形神经网络 (GNN) 提供自动化特征提取功能.

研究的目的:

  • 用自动特征选择的GNN来预测口服生物可用性.
  • 通过转移学习增强GNN性能,用于口服生物可用性预测.

主要方法:

  • 利用图形神经网络 (GNN) 来从分子数据中提取特征.
  • 员工通过预训练一种可溶性预测模型来转移学习.
  • 应用了增强的GNN模型来预测口服生物可用性.

主要成果:

  • 获得了0.797的口服生物可用性预测的平均准确度.
  • 获得了F1得分为0.840和AUC-ROC为0.867.
  • 使用相同测试数据集的先前研究的表现优于此前的研究.

结论:

  • 具有转移学习的GNN提供了一种强大而有效的方法来预测口服生物可用性.

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  • 通过GNN自动选择功能,减少了对域专业知识的需求.
  • 开发的模型显示了加速药物发现管道的巨大潜力.