Computational Toxicology · Bioinformatics · AI for Drug Discovery & Safely
Zhang DrugAI Lab 致力于融合人工智能、生物信息学、计算毒理学和药物安全性研究， 构建面向疾病机制解析与风险预测的智能化科研平台。
Zhang DrugAI Lab integrates artificial intelligence, bioinformatics, computational toxicology, and drug safety research to build intelligent platforms for disease mechanism discovery and risk prediction.
Research Platform
平台围绕药物安全、环境化合物风险、生物医学大数据挖掘和疾病机制解析， 提供模型预测、工具部署和结果展示的一体化入口。
The platform supports drug safety assessment, environmental chemical risk prediction, biomedical data mining, and disease mechanism analysis through online models and visualization tools.
面向药物和环境化合物，构建多终点毒性预测、风险分级和模型解释方法。
Building multi-endpoint toxicity prediction, risk stratification, and model interpretation methods for drugs and environmental chemicals.
开展疾病相关蛋白、磷酸化位点、通路富集和功能机制的计算分析。
Analyzing disease-related proteins, phosphorylation sites, pathway enrichment, and functional mechanisms.
结合预训练表示、图神经网络、异质网络和机器学习，构建可扩展预测平台。
Developing scalable prediction platforms using pretrained representations, graph neural networks, heterogeneous networks, and machine learning.
Current Tool
当前已接入药物多毒性预测平台，路径为 zhang-drugailab.com/tools/toxicity/。
The drug multi-toxicity prediction platform is available at zhang-bioailab.com/tools/toxicity/.