NEDD: a network embedding based method for predicting drug-disease associations. - Renyi Zhou; Zhangli Lu; Huimin Luo; Ju Xiang; Min Zeng; Min Li 007 (BMC Bioinform., 2020)

DeepDTAF: a deep learning method to predict protein-ligand binding affinity. - Kaili Wang; Renyi Zhou; Yaohang Li; Min Li 007 (Briefings Bioinform., 2021)

PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular Generation. - Huimin Zhu; Renyi Zhou; Jing Tang 002; Min Li 007 (CoRR, 2022)

In Silico Prediction of New Mutations That Can Improve the Binding Abilities Between 2019-nCoV Coronavirus and Human ACE2. - Senbiao Fang; Ruoqian Zheng; Chuqi Lei; Jianxin Wang 001; Renyi Zhou; Min Li 007 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

RLBind: a deep learning method to predict RNA-ligand binding sites. - Kaili Wang; Renyi Zhou; Yifan Wu 008; Min Li 007 (Briefings Bioinform., 2023)

Development and Modeling of Modular Cable-Driven Anthropomorphic Multi-fingered Hands. - Jiashu Feng; Renyi Zhou; Li Luo; Zhushi Lu; Qiaowen Wu; Yuzhi Wu; Aimin Zhang; Yisheng Guan (ICIRA (7), 2024)

MoGE: A Benchmark for Comprehensive Evaluation of Molecular Generation Models in De Novo Drug Design. - Shiliang Zhang; Huimin Zhu; Renyi Zhou; Min Li (ISBRA (1), 2025)