PMT/vPvM Profiler is an online server for the high-throughput screening of persistent, mobile, and toxic (PMT) and very persistent and very mobile (vPvM) substances, which was constructed using a graph convolutional network (GCN)-enhanced model. When citing PMT/vPvM Profiler in the literature, the following citations are recommended to be used:

[1] Qiming Zhao, Yuting Zheng, Yu Qiu, Yang Yu, Meiling Huang, Yiqu Wu, Xiyu Chen, Yizhou Huang, Shixuan Cui, Shulin Zhuang*. Graph Convolutional Network-Enhanced Model for Screening Persistent, Mobile, and Toxic and Very Persistent and Very Mobile Substances. Environmental Science & Technology, 2024, 58, 14, 6149–6157.

[2] Qiming Zhao, Yang Yu, Yuchen Gao, Lilai Shen, Shixuan Cui, Yiyuan Gou, Chunlong Zhang, Shulin Zhuang*, Guibin Jiang. Machine learning-based models with high accuracy and broad applicability domains for screening PMT/vPvM substances. Environ Sci Technol, 2022, 56, 24, 17880–17889.

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• This website is designed for high throughput screening and risk assessment of PMT substances, and all features are free to use . When citing PMT/vPvM Profiler please use the following: Qiming Zhao, Yang Yu, Yuchen Gao, Lilai Shen, Shixuan Cui, Yiyuan Gou, Chunlong Zhang, Shulin Zhuang*, Guibin Jiang. Machine learning-based models with high accuracy and broad applicability domains for screening PMT/vPvM substances. Environ Sci Technol, 2022, 56, 24, 17880–17889 https://doi.org/10.1021/acs.est.2c06155

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