基于机器学习的定量结构活动关系 (ML-QSAR) 模型在环境科学中的应用
Chao Chen1, Yujia Tan2, Yawei Liu1
1School of Life and Environmental Science, Wenzhou University, Wenzhou, 325035, Zhejiang, China; National & Local Joint Engineering Research Center for Ecological Treatment Technology of Urban Water Pollution, Wenzhou University, Wenzhou 325035, China; Zhejiang Provincial Engineering Laboratory of Ecological Treatment Technology for Urban Water Pollution, Wenzhou, 325035, Zhejiang, China.
基于机器学习的定量结构-活动关系 (ML-QSAR) 模型为环境科学提供了数据适应的方法,超越了传统的限制. 这种转变使污染物评估和风险管理的更可靠,知识集成的人工智能系统成为可能.
科学领域:
- 环境化学环境化学
- 计算毒理学计算毒理学
- 化学信息学 化学信息学
背景情况:
- 传统的定量结构-活动关系 (QSAR) 模型面临的局限性是由于环境领域的数据增长和化学复杂性.
- 需要无模型,数据适应和知识集成的建模范式.
研究的目的:
- 系统地审查基于机器学习的QSAR (ML-QSAR) 在环境科学中的开发和应用.
- 为了说明从古典QSAR转向AI系统的范式转变,整合物理定律,合规预测和化学推理.
主要方法:
- 对环境科学中的ML-QSAR文献进行全面的审查.
- 一个全生命周期ML-QSAR建模框架的介绍.
- 探索向自主,自我发展的科学发现周期的进化.
主要成果:
- ML-QSAR使我们能够转向可靠,知识集成的人工智能系统的模式转变.
- 该审查涵盖了预测污染物特性,环境命运,生态和人类健康风险评估以及新出现的污染物识别方面的应用.
- 介绍了一个ML-QSAR建模的框架,从数据策划到部署.
结论:
- ML-QSAR解决了传统QSAR的局限性,为环境数据分析提供了增强的能力.
- 持续存在的挑战包括数据稀缺性,模型不透明性和监管调整,需要科学基础的解决方案.
- 未来指向下一代环境人工智能和自主科学发现.
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