ADMET evaluation in drug discovery: 15. Accurate prediction of rat oral acute toxicity using relevance vector machine and consensus modeling. - Tailong Lei; Youyong Li; Yunlong Song; Dan Li 013; Huiyong Sun; Tingjun Hou (J. Cheminformatics, 2016)

farPPI: a webserver for accurate prediction of protein-ligand binding structures for small-molecule PPI inhibitors by MM/PB(GB)SA methods. - Zhe Wang 041; Xuwen Wang; Youyong Li; Tailong Lei; Ercheng Wang; Dan Li 013; Yu Kang 002; Feng Zhu 004; Tingjun Hou (Bioinform., 2019)

ADMET Evaluation in Drug Discovery. 19. Reliable Prediction of Human Cytochrome P450 Inhibition Using Artificial Intelligence Approaches. - Zhenxing Wu; Tailong Lei; Chao Shen 008; Zhe Wang 041; Dong-Sheng Cao 001; Tingjun Hou (J. Chem. Inf. Model., 2019)

Comprehensive assessment of nine docking programs on type II kinase inhibitors: prediction accuracy of sampling power, scoring power and screening power. - Chao Shen 008; Zhe Wang 041; Xiaojun Yao; Youyong Li; Tailong Lei; Ercheng Wang; Lei Xu 035; Feng Zhu 004; Dan Li 013; Tingjun Hou (Briefings Bioinform., 2020)

ADMET evaluation in drug discovery. 20. Prediction of breast cancer resistance protein inhibition through machine learning. - Dejun Jiang 002; Tailong Lei; Zhe Wang 041; Chao Shen 008; Dong-Sheng Cao 001; Tingjun Hou (J. Cheminformatics, 2020)

Do we need different machine learning algorithms for QSAR modeling? A comprehensive assessment of 16 machine learning algorithms on 14 QSAR data sets. - Zhenxing Wu; Minfeng Zhu; Yu Kang 002; Elaine Lai-Han Leung; Tailong Lei; Chao Shen 008; Dejun Jiang 002; Zhe Wang 041; Dong-Sheng Cao 001; Tingjun Hou (Briefings Bioinform., 2021)