ITP-Pred: an interpretable method for predicting, therapeutic peptides with fused features low-dimension representation. - Lijun Cai; Li Wang 145; Xiangzheng Fu; Chenxing Xia; Xiangxiang Zeng; Quan Zou 001 (Briefings Bioinform., 2021)

Multi-Objective Molecular Design in Constrained Latent Space. - Yiwei Liu; Yiping Liu; Jiahao Yang; Xinyi Zhang; Li Wang 145; Xiangxiang Zeng (IJCNN, 2024)

ET-PROTACs: modeling ternary complex interactions using cross-modal learning and ternary attention for accurate PROTAC-induced degradation prediction. - Lijun Cai; Guanyu Yue; Yifan Chen; Li Wang 145; Xiaojun Yao; Quan Zou 001; Xiangzheng Fu; Dong-Sheng Cao 001 (Briefings Bioinform., 2024)

HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design. - Li Wang 145; Yiping Li; Xiangzheng Fu; Xiucai Ye; Junfeng Shi; Gary G. Yen; Xiangxiang Zeng (CoRR, 2024)

MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor. - Li Wang 145; Xiangzheng Fu; Jiahao Yang; Xinyi Zhang; Xiucai Ye; Yiping Liu; Tetsuya Sakurai; Xiangxiang Zeng (CoRR, 2024)

SQ-DiffuPep: A multimodal information-guided quantitative latent diffusion model for antimicrobial peptide discovery. - Luoda Tan; Li Wang 145; Xuanbai Ren; Quan Zou 001; Xiaojun Yao; Xiangxiang Zeng; Xiangzheng Fu (Inf. Fusion, 2025)