PAIR: the predicted Arabidopsis interactome resource. - Mingzhi Lin; Xueling Shen; Xin Chen (Nucleic Acids Res., 2011)

Improving protein-ligand docking and screening accuracies by incorporating a scoring function correction term. - Liangzhen Zheng; Jintao Meng 001; Kai Jiang; Haidong Lan; Zechen Wang; Mingzhi Lin; Weifeng Li; Hongwei Guo; Yanjie Wei; Yuguang Mu (Briefings Bioinform., 2022)

Prior knowledge facilitates low homologous protein secondary structure prediction with DSM distillation. - Qin Wang 011; Jun Wei 006; Yuzhe Zhou; Mingzhi Lin; Ruobing Ren; Sheng Wang 001; Shuguang Cui; Zhen Li 026 (Bioinform., 2022)

A fully differentiable ligand pose optimization framework guided by deep learning and a traditional scoring function. - Zechen Wang; Liangzhen Zheng; Sheng Wang 001; Mingzhi Lin; Zhihao Wang; Adams Wai-Kin Kong; Yuguang Mu; Yanjie Wei; Weifeng Li (Briefings Bioinform., 2023)

Stochastic reliability optimization of a controlled memristor-based Van der Pol circuit using a new intelligent algorithm. - Wei Li 248; Mingzhi Lin; Junfeng Zhao; Drazan Kozak (Eng. Appl. Artif. Intell., 2025)