1. Xu Xiaotian; Wang Chen; Gui Bingxin; Yuan Xiangyi; Li Chao; Zhao Yuanhui; Martyniuk Christopher J; Su Limin*. Application of machine learning to predict the inhibitory activity of organic chemicals on thyroid stimulating hormone receptor. Environmental Research, 2022, 212:113175
2.Wang Suo; Zhang Xiao; Xu Xiaotian; Su Limin*; Zhao Yuanhui; Martyniuk Christopher J. Comp
arison of modes of toxic action between Rana chensinensis tadpoles and Limnodrilus hoffmeisteri worms based on interspecies correlation, excess toxicity and QSAR for class-based compounds, Aquatic Toxicology, 2022, 245: 106130.
3. Gui Bingxin; Wang Chen; Xu Xiaotian; Li Chao; Zhao Yuanhui; Su Limin*. Identiffcation of active or inactive agonists of tumor suppressor protein based on Tox21 library. Toxicology, 2022 474:153224.
4.Gui Bingxin; Xu Xiaotian; Zhang Shengnan; Wang Yue; Li Chao; Zhang Dongmei; Su Limin*; Zhao Yuanhui. Prediction of organic compounds adsorbed by polyethylene and chlorinated polyethylenemicroplastics in freshwater using QSAR, Environmental Research, 2021, 197: 111001
5.Zhang Shengnan; Khan Waqas Amin; Su Limin*; Zhang Xuehua; Li Chao; Qin Weichao; Zhao Yuanhui. Predicting oxidative stress induced by organic chemicals by using quantitative Structure-Activity relationship methods, Ecotoxicology and Environmental Safety, 2020, 201: 110817
6.Zhang Shengnan; Wang Ning; Su Limin*; Xu Xiaoyan; Li Chao; Qin Weichao; Zhao Yuanhui. MOA -based linear and nonlinear QSAR models for predicting the toxicity of organic chemicals to Vibri o fischeri, Environmental Science and Pollution Research, 2020, 27: 9114-9125