Jove
Visualize
联系我们
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

相关概念视频

Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

309
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.
309
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

1.8K
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...
1.8K
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

236
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
236
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

223
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
223
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

504
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
504
Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance01:07

Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance

250
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,...
250

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

Efficient calculation of fluid transport in porous media with moving boundaries.

bioRxiv : the preprint server for biology·2025
Same author

A Hybrid Multiscale Model for Predicting CAR-T Therapy Outcomes in Solid Tumors.

bioRxiv : the preprint server for biology·2025
Same author

Physiologically based pharmacokinetic model for CAR-T cell delivery and efficacy in solid tumors.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

The anti-virus T cell response dominates the anti-cancer response in oncolytic virus therapy.

bioRxiv : the preprint server for biology·2025
Same author

Overcoming impaired antigen presentation in tumor draining lymph nodes facilitates immunotherapy.

bioRxiv : the preprint server for biology·2025
Same author

Wnt inhibition alleviates resistance to anti-PD1 therapy and improves antitumor immunity in glioblastoma.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same journal

Whole-Embryo 3D Quantification Reveals Conserved Topological Design and Scaling of Germ Layers in Xenopus.

bioRxiv : the preprint server for biology·2026
Same journal

scRNA-seq and genomics analyses reveal key mechanisms of inverted papilloma-associated sinonasal squamous cell carcinoma malignant transformation.

bioRxiv : the preprint server for biology·2026
Same journal

M1C IS NECESSARY FOR DARAXONRASIB RESISTANCE OF NSCLC KRAS(G12C) MUTANT CELLS.

bioRxiv : the preprint server for biology·2026
Same journal

A human-specific genetic modifier reconfigures large-scale cortical network dynamics underlying behavioral performance.

bioRxiv : the preprint server for biology·2026
Same journal

<i>Staphylococcus aureus</i> uses a eukaryotic-like uridyltransferase to make UDP-GlcNAc for cell wall synthesis.

bioRxiv : the preprint server for biology·2026
Same journal

Dynamic redistribution of eIF4F controls cap-dependent translation initiation.

bioRxiv : the preprint server for biology·2026
查看所有相关文章

相关实验视频

Updated: Jan 9, 2026

Paramyxoviruses for Tumor-targeted Immunomodulation: Design and Evaluation Ex Vivo
12:42

Paramyxoviruses for Tumor-targeted Immunomodulation: Design and Evaluation Ex Vivo

Published on: January 7, 2019

10.1K

优化癌症疫苗使用生理学基础的药理动力学 (PBPK) 模型.

Mohammad R Nikmaneshi, Timothy P Padera, Lance L Munn

    bioRxiv : the preprint server for biology
    |December 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    一个新的生理学基础的药理动力学 (PBPK) 模型整合了免疫运输以优化癌症疫苗设计. 这个工具有助于个性化抗癌疫苗接种策略,通过根据个体瘤因素预测最佳的分娩时间.

    更多相关视频

    Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer
    07:45

    Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer

    Published on: May 18, 2020

    6.9K
    Predictive Immune Modeling of Solid Tumors
    08:50

    Predictive Immune Modeling of Solid Tumors

    Published on: February 25, 2020

    7.4K

    相关实验视频

    Last Updated: Jan 9, 2026

    Paramyxoviruses for Tumor-targeted Immunomodulation: Design and Evaluation Ex Vivo
    12:42

    Paramyxoviruses for Tumor-targeted Immunomodulation: Design and Evaluation Ex Vivo

    Published on: January 7, 2019

    10.1K
    Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer
    07:45

    Orthotopic Transplantation of Breast Tumors as Preclinical Models for Breast Cancer

    Published on: May 18, 2020

    6.9K
    Predictive Immune Modeling of Solid Tumors
    08:50

    Predictive Immune Modeling of Solid Tumors

    Published on: February 25, 2020

    7.4K

    科学领域:

    • 免疫学 免疫学 免疫学
    • 药理动力学 药理动力学
    • 计算生物学 计算生物学

    背景情况:

    • 基于抗原的瘤疫苗需要辅助剂进行免疫刺激.
    • 了解抗原运输和免疫细胞动态对于有效的疫苗设计至关重要.
    • 目前的策略受限于对复杂的免疫相互作用的理解不足.

    研究的目的:

    • 开发一种针对抗原疫苗接种的多尺度生理基药动力学 (PBPK) 模型.
    • 为了整合系统循环,淋巴连接和免疫细胞激活.
    • 为了优化癌症疫苗设计和输送策略.

    主要方法:

    • 开发了一个多尺度的隔间PBPK模型.
    • 集成的动脉,静脉,淋巴流和器官特定网络.
    • 模拟了抗原,抑制因子和APC激活的时空分布.

    主要成果:

    • 该模型准确地复制了抗原分布和免疫细胞激活.
    • 疫苗的有效性对瘤产生的抗原和抑制因素敏感.
    • 早期的疫苗接种表明免疫反应得到增强.

    结论:

    • 该PBPK模型提供了优化癌症疫苗管理的见解.
    • 它可以根据瘤特征预测患者特定的疫苗接种策略.
    • 该模型作为开发数字双胞胎的基础,用于个性化癌症疫苗接种.