PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture. - Xiao Cao; Wenjia He; Zitan Chen; Yifan Li; Kexin Wang; Hongbo Zhang; Lesong Wei; Lizhen Cui; Ran Su; Leyi Wei (Briefings Bioinform., 2021)

ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism. - Lesong Wei; Xiucai Ye; Yuyang Xue; Tetsuya Sakurai; Leyi Wei (Briefings Bioinform., 2021)

ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information. - Lesong Wei; Xiucai Ye; Tetsuya Sakurai (RACS, 2022)

ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning. - Lesong Wei; Xiucai Ye; Tetsuya Sakurai; Zengchao Mu; Leyi Wei (Bioinform., 2022)

GSAML-DTA: An interpretable drug-target binding affinity prediction model based on graph neural networks with self-attention mechanism and mutual information. - Jiaqi Liao; Haoyang Chen; Lesong Wei; Leyi Wei (Comput. Biol. Medicine, 2022)

AFP-MFL: accurate identification of antifungal peptides using multi-view feature learning. - Yitian Fang; Fan Xu; Lesong Wei; Yi Jiang; Jie Chen 001; Leyi Wei; Dong-Qing Wei (Briefings Bioinform., 2023)

SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. - Xin Zhang; Lesong Wei; Xiucai Ye; Kai Zhang; Saisai Teng; Zhongshen Li; Junru Jin; Min Jae Kim; Tetsuya Sakurai; Lizhen Cui; Balachandran Manavalan; Leyi Wei (Briefings Bioinform., 2023)

HELM-GPT: de novo macrocyclic peptide design using generative pre-trained transformer. - Xiaopeng Xu; Chencheng Xu; Wenjia He; Lesong Wei; Haoyang Li; Juexiao Zhou; Ruochi Zhang; Yu Wang 225; Yuanpeng Xiong; Xin Gao 001 (Bioinform., 2024)