极端梯度增强驱动药物诱导肝损伤预测和结构警报生成
Hillul Chutia1, Gori Sankar Borah2, Hridoy Jyoti Mahanta1,3
1CSIR-North East Institute of Science and Technology, Jorhat 785006, India.
Chemical research in toxicology
|April 17, 2025
概括
这项研究介绍了BoostDILI,一种机器学习模型,使用XGBoost.com预测药物诱导的肝损伤 (DILI). 它确定了DILI风险的结构性警报,帮助开发更安全的药物.
科学领域:
- 药理学 药理学是指药理学的学科.
- 计算化学计算化学
- 毒理学 毒理学 毒理学
背景情况:
- 药物诱导性肝损伤 (DILI) 是一个主要的安全问题,导致药物戒断.
- 目前的DILI预测方法复杂且耗时.
- 准确的早期DILI预测对于制药开发至关重要.
研究的目的:
- 开发一个用于早期DILI预测的机器学习模型.
- 评估公共数据集对FDA批准药物的DILI预测的有用性.
- 生成结构性警报,以提高模型的解释性,并识别导致DILI的子结构.
主要方法:
- 开发了一个极端梯度增强 (XGB) 机器学习模型 (BoostDILI).
- 利用了四个公共数据集,并集成了RDKit和Mordred功能.
- 采用顺序特征选择和贝叶斯统计学来识别结构性警报.
主要成果:
- 该BoostDILI模型实现了0.70 5倍的交叉验证准确度.
- 在FDA批准的药物数据集 (DILIst,DILIRank) 上成功验证了模型.
- 确定了与DILI风险相关的关键结构性警报.
结论:
- 提升DILI为临床前DILI风险评估提供了可靠的工具.
- 结构性警报可以提高对DILI机制的理解.
- 该模型和数据是公开可用的,以支持进一步的研究.
相关概念视频
Pharmacovigilance
761
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
761
Drug Discovery: Overview
7.3K
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...
7.3K


