Integration of A Deep Learning Classifier with A Random Forest Approach for Predicting Malonylation Sites. - Zhen Chen 009; Ningning He; Yu Huang; Wen Tao Qin; Xuhan Liu; Lei Li 013 (Genom. Proteom. Bioinform., 2018)

Large-scale comparative assessment of computational predictors for lysine post-translational modification sites. - Zhen Chen 009; Xuhan Liu; Fuyi Li; Chen Li 021; Tatiana T. Marquez-Lago; André Leier; Tatsuya Akutsu; Geoffrey I. Webb; Dakang Xu; Alexander Ian Smith; Lei Li 013; Kuo-Chen Chou; et al. (Briefings Bioinform., 2019)

Identification of Protein Lysine Crotonylation Sites by a Deep Learning Framework With Convolutional Neural Networks. - Yiming Zhao; Ningning He; Zhen Chen 009; Lei Li 013 (IEEE Access, 2020)

DeepKcrot: A Deep-Learning Architecture for General and Species-Specific Lysine Crotonylation Site Prediction. - Xilin Wei; Yutong Sha; Yiming Zhao; Ningning He; Lei Li 013 (IEEE Access, 2021)

CysModDB: a comprehensive platform with the integration of manually curated resources and analysis tools for cysteine posttranslational modifications. - Yanzheng Meng; Lin Zhang; Laizhi Zhang; Ziyu Wang; Xuanwen Wang; Chan Li; Yu Chen; Shipeng Shang; Lei Li 013 (Briefings Bioinform., 2022)

DTL-NeddSite: A Deep-Transfer Learning Architecture for Prediction of Lysine Neddylation Sites. - Deli Xu; Yafei Zhu; Qiang Xu; Yuhai Liu; Yu Chen; Yang Zou; Lei Li 013 (IEEE Access, 2023)

DeepNphos: A deep-learning architecture for prediction of N-phosphorylation sites. - Xulin Chang; Yafei Zhu; Yu Chen; Lei Li 013 (Comput. Biol. Medicine, 2024)