About
课题组介绍
About Zhang BioAI Lab
Zhang DrugAI Lab 聚焦人工智能与生物医学交叉研究，致力于发展可解释、可扩展、可部署的 生物医学智能模型，用于药物安全性评价、环境化合物风险预测、疾病机制解析和生物信息学工具开发。
Zhang DrugAI Lab focuses on the intersection of artificial intelligence and biomedicine. We develop interpretable, scalable, and deployable biomedical AI models for drug safety assessment, environmental chemical risk prediction, disease mechanism analysis, and bioinformatics tool development.
研究定位
Research Positioning
以 DrugAI、计算毒理学、生物信息学和药物安全为核心，构建从数据挖掘、模型开发到在线工具部署的完整研究流程。
We focus on BioAI, computational toxicology, bioinformatics, and drug safety, covering the full workflow from data mining and model development to online tool deployment.
平台目标
Platform Goal
建立面向科研用户的在线分析平台，将模型预测结果、可解释性分析和机制证据以可视化方式进行展示。
Our goal is to provide online research tools that visualize model predictions, interpretability results, and mechanistic evidence for biomedical applications.
主要方向
Main Research Directions
- 药物和环境化合物多终点毒性预测
- 药物相互作用与联合毒性风险建模
- 疾病相关磷酸化位点与激酶机制解析
- 生物医学异质网络与预训练语义表示学习
- 在线预测工具与科研可视化平台建设
- Multi-endpoint toxicity prediction for drugs and environmental chemicals
- Drug interaction and joint toxicity risk modeling
- Disease-related phosphorylation site and kinase mechanism analysis
- Biomedical heterogeneous networks and pretrained semantic representation learning
- Online prediction tools and scientific visualization platforms