相关实验视频
Updated: Jun 30, 2025

12:08
Diagonal Method to Measure Synergy Among Any Number of Drugs
Published on: June 21, 2018
18.6K
药物相似性预测中的当前趋势和挑战:它们是否可概括和解释?
Wenyu Zhu1, Yanxing Wang1, Yan Niu2
1State Key Laboratory of Natural and Biomimetic Drugs, School of Pharmaceutical Sciences, Peking University, 100191 Beijing, P. R. China.
Health data science
|March 15, 2024
概括
预测药物相似性对于药物开发至关重要. 新的深度学习方法显示出准确的药物相似性预测的前景,尽管在概括和解释性方面存在挑战.
科学领域:
- 计算化学的计算化学
- 药理学 药理学是指药理学的学科.
- 人工智能的人工智能
背景情况:
- 药物相似性评估对于有效的药物发现至关重要,过具有不良开发潜力的化合物.
- 传统方法包括基于生理化学和结构特征的规则,统计模型和机器学习.
- 准确的药物相似性预测对于节省研究支出至关重要.
研究的目的:
- 审查药物相似性预测方法的不断变化的格局.
- 在这个领域强调新型深度学习技术的应用.
- 确定当前的挑战和未来的研究方向.
主要方法:
- 关于药物相似性预测现有文献的审查.
- 专注于使用新型深度学习技术的方法.
- 对挑战的分析,包括概括和可解释性.
主要成果:
- 深度学习技术显著提高了药物相似性分类性能.
- 目前在概括性和解释性方面的挑战仍然存在.
- 已经探索了潜在的补救措施和未来的研究途径.
结论:
- 新的深度学习技术为药物相似性预测提供了巨大的潜力.
- 进一步的研究是有必要的,以克服一般化和解释性方面的挑战.
- 这些先进的方法对于提高药物开发效率是有价值的.
相关概念视频
Drug Abuse and Addiction: Pharmacological Phenomena
469
Drug dependence, abuse, and addiction are complex phenomena that can precipitate various abnormal states. Physical dependence refers to a state of pharmacological adaptation to a drug. This adaptation often results in tolerance—a reduced response to the drug after repeated administrations. When the drug use is abruptly stopped, withdrawal symptoms occur due to the body's need to readjust from the pharmacologically induced imbalance. However, tolerance and withdrawal symptoms do not...
469
Analysis of Population Pharmacokinetic Data
254
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
254
Drug Dependence
1.0K
Medications are typically administered to achieve therapeutic effects. Some drugs can modify an individual's mood and perception, frequently resulting in various enjoyable experiences. However, this can result in drug dependency, a condition marked by continuous drug use despite potential negative consequences. Drug dependency primarily falls into two categories: psychological and physical dependence. Psychological dependence occurs when the pleasurable feelings induced by the drug...
1.0K
Drug Discovery: Overview
7.9K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
7.9K
Factors Affecting Dissolution: Drug Permeability, Stability and Stereochemistry
207
Orally administered drugs primarily enter the systemic circulation via passive diffusion through the intestinal membranes. The drug's absorption is influenced by drug stability in the gastrointestinal GI tract, membrane permeability, the surface area available for absorption, luminal drug concentration, and residence time in the lumen. Drug permeability can be enhanced by adjusting the lipophilicity, polarity, or molecular size of the drug, promoting its passive transport across intestinal...
207
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
69
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...
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...
69

