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

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

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

Quality by design-guided development of silica-enabled lipid hybrid nanoparticles for enhanced olaparib dissolution.

Pharmaceutical development and technology·2026
Same author

In situ nasal gel loaded with Lactoferrin-Coated Brexpiprazole nanostructured lipid carriers for Schizophrenia: Cross-Species validation in Ketamine-Induced rat and zebrafish models.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V·2026
Same author

Assessing the impact of data harmonization on human liver microsomal stability prediction model performance.

Results in chemistry·2026
Same author

Hyaluronic Acid-functionalized Hesperidin-loaded Solid Lipid Nanoparticles for Mitigating Oxidative Stress: A Potential Strategy for Radiation-induced Skin Injury.

Applied biochemistry and biotechnology·2026
Same author

Depression patient-friendly formulation containing escitalopram and ascorbic acid: design, optimization, characterization, and in vivo taste assessment.

Naunyn-Schmiedeberg's archives of pharmacology·2026
Same author

The low-density lipoprotein receptor LDLR mediates cellular entry of nonenveloped hepatitis A virus.

Proceedings of the National Academy of Sciences of the United States of America·2026

相关实验视频

Updated: Jun 24, 2026

Murine Precision-Cut Liver Slices as an Ex Vivo Model of Liver Biology
12:36

Murine Precision-Cut Liver Slices as an Ex Vivo Model of Liver Biology

Published on: March 14, 2020

15.5K

开发强大的人类肝脏微体稳定性预测模型:利用与大鼠数据的物种间相关性.

Pranav Shah1, Vishal B Siramshetty1, Ewy Mathé1

  • 1National Center for Advancing Translational Sciences (NCATS), 9808 Medical Center Drive, Rockville, MD 20850, USA.

Pharmaceutics
|October 26, 2024
PubMed
概括

我们开发了人类肝脏微小体 (HLM) 稳定性的预测模型,使用机器学习实现了超过80%的准确性. 这种在广泛的实验数据上训练的模型,通过有效地预测化合物稳定性,有助于早期药物发现.

关键词:
人类肝脏微粒细胞在 ADME ADME 中.代谢稳定性 代谢稳定性定量结构活动关系的量化结构.鼠肝显微体 鼠肝显微体 鼠肝显微体

更多相关视频

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro
11:06

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro

Published on: January 31, 2022

4.3K
Human Liver Spheroids from Peripheral Blood for Liver Disease Studies
09:51

Human Liver Spheroids from Peripheral Blood for Liver Disease Studies

Published on: January 27, 2023

1.6K

相关实验视频

Last Updated: Jun 24, 2026

Murine Precision-Cut Liver Slices as an Ex Vivo Model of Liver Biology
12:36

Murine Precision-Cut Liver Slices as an Ex Vivo Model of Liver Biology

Published on: March 14, 2020

15.5K
Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro
11:06

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro

Published on: January 31, 2022

4.3K
Human Liver Spheroids from Peripheral Blood for Liver Disease Studies
09:51

Human Liver Spheroids from Peripheral Blood for Liver Disease Studies

Published on: January 27, 2023

1.6K

科学领域:

  • 药物发现和开发 药物发现和开发
  • 药理动力学和药物新陈代谢
  • 计算化学和化学信息学

背景情况:

  • 药物动力学问题是药物消耗的主要原因,需要在早期评估.
  • 微体稳定性等体外测定对于评估药物的药理动力学概况至关重要.
  • 高通量查产生了大量的数据,但资源密集的测试,如人类肝脏微小体 (HLM) 稳定性需要替代策略.

研究的目的:

  • 为人类肝脏微小体 (HLM) 稳定性开发一个可预测的in silico模型.
  • 利用大规模的实验数据来训练机器学习模型.
  • 为早期药物发现提供可访问和准确的工具.

主要方法:

  • 使用内部数据集开发HLM稳定性预测模型.
  • 应用经典机器学习和先进技术,包括神经网络.
  • 使用外部测试集验证模型,并与现有文献模型进行比较.

主要成果:

  • 在HLM稳定性预测方面实现了超过80%的模型准确度.
  • 证明了与文献中最先进的模型可比的性能.
  • 当结合大鼠肝微小体 (RLM) 稳定性预测时,观察到改善了HLM模型的性能,突出了跨物种数据实用性.

结论:

  • 开发的HLM稳定性预测模型为药物发现社区提供了有价值的工具.
  • 该模型和数据集的一个子集可以通过ADME@NCATS网站公开访问.
  • 这代表了同类最大的开源模型,独特地利用跨物种数据.