基于图形卷积网络和毒基因组学的药物诱导肝损伤预测
Tong Xiao1, Ying Liu1, Kaimiao Hu1
1School of Computer Software, College of Intelligence and Computing, Tianjin University, Tianjin, China.
PLoS computational biology
|September 5, 2025
概括
我们开发了一个新的计算模型BioGL-GCN, 这种先进的方法通过专注于基因相互作用来提高准确性,从而改善药物安全性评估.
科学领域:
- 计算毒理学
- 药物基因组学
- 药物安全科学
背景情况:
- 药物诱导性肝损伤 (DILI) 是药物开发中的一个主要挑战,导致高消耗率.
- 现有的模型往往缺乏可靠的验证,并且无法充分利用生物药物特性.
- 准确预测DILI对于确保药物的安全性和有效性至关重要.
研究的目的:
- 使用毒基因组数据开发一个先进的模型来预测DILI.
- 通过强调基因相互作用来提高DILI预测的准确性.
- 使用现实药物数据和实验模型验证模型的性能.
主要方法:
- 开发了BioGL-GCN,一个结合生物图形学习 (BioGL) 模块的图形卷积网络.
- 使用蛋白质-蛋白质相互作用网络和基因丰富分析以优化基因相互作用的图形表示.
- 应用该模型来预测综合传统中医药 (ITCM) 数据库中的DILI风险.
主要成果:
- 生物GL-GCN模型实现了79%的DILI预测准确度.
- 该模型通过优先考虑基因与基因之间的关系而表现出卓越的性能.
- 使用3D初级人肝细胞 (PHH) 模型实验验验证了预测.
结论:
- 生物GL-GCN提供了可靠和准确的计算方法来预测药物诱导的肝损伤.
- 该模型专注于生物图的学习,提高了其对肝毒性的预测能力.
- 这种方法有助于早期识别潜在的药物安全问题.
更多相关视频
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
8.3K
07:35A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
1.7K
相关概念视频
Hepatic Drug Excretion: Influencing Factors
214
The biliary system of the liver, crucial for bile secretion and drug excretion, comprises intrahepatic bile ducts that merge to form the common hepatic duct. This duct, carrying hepatic bile, combines with the cystic duct, draining the gallbladder and forming the common bile duct, which empties into the duodenum. Bile, produced by hepatic cells lining the bile canaliculi, is composed primarily of water, bile salts, pigments, electrolytes, and lesser amounts of cholesterol and fatty acids. Bile...
214
Determination of Renal Drug Clearance: Graphical and Midpoint Methods
196
Renal clearance, a crucial parameter in pharmacokinetics, can be determined using two different methods: the graphical method and the midpoint method. These methods provide insights into the rate of drug excretion by the kidneys and aid in assessing renal function.
The graphical method involves plotting the rate of drug excretion in urine against the plasma drug concentration. By analyzing the graph, the clearance can be calculated and obtained. Drugs rapidly excreted by the kidneys exhibit a...
The graphical method involves plotting the rate of drug excretion in urine against the plasma drug concentration. By analyzing the graph, the clearance can be calculated and obtained. Drugs rapidly excreted by the kidneys exhibit a...
196
Drug Concentration Versus Time Correlation
1.2K
The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
1.2K
Nonlinear Pharmacokinetics: Overview
541
Nonlinear or dose-dependent pharmacokinetics is a phenomenon that occurs when the pharmacokinetic parameters of certain drugs deviate from linear pharmacokinetics at higher doses. These drugs do not follow the expected first-order kinetics, where the rate of drug elimination is directly proportional to the drug concentration. Instead, they exhibit a nonlinear relationship, which can be attributed to several factors.
Nonlinearity can arise due to the saturation of plasma protein-binding or...
Nonlinearity can arise due to the saturation of plasma protein-binding or...
541
