Jove
Visualize
联系我们

相关概念视频

Bioavailability: Overview01:13

Bioavailability: Overview

3.9K
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...
3.9K
Bioavailability: Overview01:17

Bioavailability: Overview

310
Bioavailability refers to the proportion of an administered drug that reaches the systemic circulation in its active, unaltered form. It is a crucial pharmacokinetic parameter that determines the effectiveness of a drug in achieving its intended therapeutic outcomes. The route of administration significantly influences bioavailability, with intravenous administration achieving 100% bioavailability as the drug directly enters the bloodstream. In contrast, oral administration often results in...
310
Bioavailability Enhancement: Determination and Conceptual Approaches in Overcoming Bioavailability Problems01:22

Bioavailability Enhancement: Determination and Conceptual Approaches in Overcoming Bioavailability Problems

147
Body:Bioavailability is a critical pharmacological concept that measures the extent and rate at which an active drug ingredient or therapeutic moiety enters the systemic circulation, remaining unchanged. It's a pivotal factor in determining a drug's efficacy and safety.The Biopharmaceutics Classification System (BCS) plays an essential role in drug development by categorizing drugs into four classes based on their solubility and permeability. This classification aids in understanding drug...
147
Bioavailability Study Design: Absolute Versus Relative Bioavailability01:27

Bioavailability Study Design: Absolute Versus Relative Bioavailability

261
Bioavailability is a crucial pharmacokinetic parameter that quantifies the proportion of an administered drug that reaches the systemic circulation and is available for therapeutic action. Regulatory agencies mandate the assessment of bioavailability, typically measured as the area under the drug plasma concentration-versus-time curve (AUC), to ensure the efficacy and safety of pharmaceutical products. These evaluations are categorized as absolute and relative bioavailability studies.Absolute...
261
Measurement of Bioavailability: Pharmacodynamic Methods01:20

Measurement of Bioavailability: Pharmacodynamic Methods

206
Pharmacodynamic methods provide insights into a drug's effects on physiological processes over time and play a crucial role in understanding bioavailability and therapeutic efficacy. These methods can be broadly classified into acute pharmacological and therapeutic response approaches, each with distinct mechanisms and applications.The acute pharmacological response method directly correlates a drug's physiological effects, such as ECG or pupil diameter changes, to its time course in the body.
206
Measurement of Bioavailability: Pharmacokinetic Methods01:30

Measurement of Bioavailability: Pharmacokinetic Methods

227
Pharmacokinetics is a vital branch of pharmacology that examines how drugs are absorbed, distributed, metabolized, and excreted by the body. Two key methodologies in pharmacokinetics are plasma drug concentration studies and urinary drug excretion analyses, both of which provide critical insights into a drug's therapeutic efficacy and bioavailability.Plasma Drug Concentration-Time StudiesPlasma drug concentration-time studies involve analyzing blood samples at specific intervals to quantify...
227

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Axial acoustic radiation force on a sphere embedded in a gel phantom within a focused ultrasound field: simulation and measurement.

Ultrasonics·2026
Same author

Plasmonic Nanocavity-Induced Degradation Pathway of Boronic Acid Biosensing Interfaces Revealed by <i>In Situ</i> Tip-Enhanced Raman Spectroscopy.

ACS nano·2026
Same author

Visualization of Cu-Cluster-Driven CO<sub>2</sub> Electroreduction by Spatiotemporally Coupled In-Situ Electrochemical Mass Spectrometry.

Journal of the American Chemical Society·2026
Same author

Advances in Nanobody-Based Platforms for Precision Cancer Diagnosis and Therapy.

Polymer science & technology (Washington, D.C.)·2026
Same author

Electroacupuncture alleviates spinal cord injury by regulating M2-like polarization of myeloid cells through CMPK2/NLRP3 inflammasome inhibition.

International immunopharmacology·2026
Same author

Hypoxic preconditioning drives metabolic reprogramming to increase the therapeutic efficacy of adipose mesenchymal stem cells in diabetic wounds.

Journal of translational medicine·2026
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Jan 6, 2026

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.2K

基于任务相似性转移学习的口服生物可用性属性预测.

Chen Zeng1, Chengcheng Xu1, Yingxu Liu1

  • 1Laboratory of Molecular Design and Drug Discovery, School of Science, China Pharmaceutical University, Nanjing, 211198, China.

Molecular diversity
|September 10, 2025
PubMed
概括

预测人类口服生物利用率 (HOB) 对药物开发至关重要. 一个新的转移学习框架 (TS-GTL) 有效地使用分子图和物理化学特性来改善HOB预测,特别是在数据稀缺的情况下.

关键词:
接收人 接收人分子属性预测的预测口服生物可用性 口服生物可用性转移学习转移学习

更多相关视频

Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish
13:34

Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish

Published on: April 16, 2019

9.7K
Transferring Cognitive Tasks Between Brain Imaging Modalities: Implications for Task Design and Results Interpretation in fMRI Studies
10:09

Transferring Cognitive Tasks Between Brain Imaging Modalities: Implications for Task Design and Results Interpretation in fMRI Studies

Published on: September 22, 2014

13.6K

相关实验视频

Last Updated: Jan 6, 2026

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

1.2K
Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish
13:34

Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish

Published on: April 16, 2019

9.7K
Transferring Cognitive Tasks Between Brain Imaging Modalities: Implications for Task Design and Results Interpretation in fMRI Studies
10:09

Transferring Cognitive Tasks Between Brain Imaging Modalities: Implications for Task Design and Results Interpretation in fMRI Studies

Published on: September 22, 2014

13.6K

科学领域:

  • 药理动力学和药物发现
  • 计算化学计算化学
  • 人工智能在医学中的应用

背景情况:

  • 准确预测人类口服生物利用率 (HOB) 对于优化候选药物和减少临床试验失败至关重要.
  • 对HOB的实验性确定是资源密集的,而现有的AI模型面临数据依赖的挑战.
  • 开发用于ADMET属性预测的高效和可解释的计算方法是研究的一个关键领域.

研究的目的:

  • 开发一个高效和可解释的计算框架来预测人类口服生物利用率 (HOB),特别是在数据稀缺的环境中.
  • 将物理化学特性与基于图形的深度学习相结合,以提高HOB预测的准确性.
  • 引入一种新的转移学习方法,利用任务相似性来提高预测性能.

主要方法:

  • 提出了一个以相似性为指导的转移学习框架,基于分子图 (TS-GTL) 的任务相似性为指导的转移学习.
  • 开发了一个深度学习模型,PGnT (基于pKa图的知识驱动的变压器),结合了分子描述符并利用了GNN和变压器编码器.
  • 引入了MoTSE来量化物理化学特性和HOB之间的任务相似性,对logD属性的预训练显示了最佳的转移学习性能.

主要成果:

  • 与传统的机器学习算法和现有的深度学习预测工具相比,TS-GTL框架表现出卓越的性能.
  • 转移学习,特别是在logD属性上进行预训练时,显著提高了HOB预测准确度.
  • 该研究强调了任务相似性的重要性,以优化转移学习以预测药物属性.

结论:

  • TS-GTL框架为ADMET属性预测提供了一种高效和可解释的替代实验和当前计算方法.
  • 利用物理化学特性和基于图形的深度学习与任务相似性是改善HOB预测在数据有限的场景中的有希望的策略.
  • 这种方法推进了AI在药物发现中的应用,使药物候选物的更好优化成为可能.