神经疾病药物开发中的机器学习:血液脑屏障透性预测模型的审查
Aryon Eckleel Nabi1, Pedram Pouladvand2, Litian Liu3
1Harvard Medical School, Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Molecular informatics
|March 27, 2025
概括
机器学习模型可以预测血脑屏障 (BBB) 透性,改善中枢神经系统 (CNS) 药物开发. 这种方法减少了对昂贵动物模型的依赖,并提高了治疗分子的预测准确性.
科学领域:
- 神经科学是一个神经科学.
- 药理学 药理学是指药理学的学科.
- 计算生物学 计算生物学
背景情况:
- 血脑屏障 (BBB) 对于中枢神经系统平衡至关重要,但它阻碍了药物输送.
- 目前使用细胞和动物模型的方法昂贵,并且在预测药物疗效方面存在局限性.
- 开发有效的中枢神经系统疗法需要克服BBB挑战.
研究的目的:
- 审查最近的机器学习 (ML) 方法来预测BBB透性.
- 探索计算建模作为传统方法的经济有效替代方案.
- 突出ML中中枢神经系统药物开发的进展.
主要方法:
- 审查最近关于机器学习和深度学习模型的文献.
- 对实证数据进行分析,以培训和验证预测模型.
- 专注于BBB透性配置的计算建模.
主要成果:
- 机器学习模型在准确预测BBB透性方面表现有前途.
- 先进的计算方法可以减少对动物进行广泛测试的需求.
- 该研究确定了适用于中枢神经系统药物发现的关键ML技术.
结论:
- 机器学习提供了一个强大的工具来提高BBB透性的预测.
- 计算机建模可以加速治疗神经系统疾病的药物开发.
- 将ML集成到药物发现管道中可以提高效率和准确性.
相关概念视频
The Blood-brain Barrier
55.4K
Overview
55.4K
Physiological Barriers
5.7K
Physiological barriers are semi-permeable cellular structures restricting drug diffusion into intracellular compartments and tissues. There are six types of physiological barriers: blood endothelial, cell membrane, blood-brain, blood-cerebrospinal fluid (CSF), blood-placenta, and blood-testis barriers.
The blood endothelial barrier is the most porous of these. It allows all small ionized, un-ionized, and lipophilic molecules to pass through the endothelial lining into the interstitial space...
The blood endothelial barrier is the most porous of these. It allows all small ionized, un-ionized, and lipophilic molecules to pass through the endothelial lining into the interstitial space...
5.7K
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models
444
Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
444
Pharmacokinetic Models: Comparison and Selection Criterion
450
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.
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.
450


