Study on traffic flow affected by the ultra-high of road turning. - Yujuan Liang; An Su (EMEIT, 2011)

Deep Learning Model for Identifying Critical Structural Motifs in Potential Endocrine Disruptors. - Arpan Mukherjee; An Su; Krishna Rajan (J. Chem. Inf. Model., 2021)

Day-ahead Economic Coordination and Dispatch Strategy of Integrated Energy System Facing Multiple Uncertainties. - Rui Chen; Yingshuang Wu; An Su; Jie Cao; Chuangxin Guo (IEEA, 2022)

Transfer Learning across Different Chemical Domains: Virtual Screening of Organic Materials with Deep Learning Models Pretrained on Small Molecule and Chemical Reaction Data. - Chengwei Zhang; Yushuang Zhai; Ziyang Gong; Yuan-Bin She; Yun-Fang Yang; An Su (CoRR, 2023)

GAPS: a geometric attention-based network for peptide binding site identification by the transfer learning approach. - Cheng Zhu; Chengyun Zhang; Tianfeng Shang; Chenhao Zhang; Silong Zhai; Lujing Cao; Zhenyu Xu; Zhihao Su; Ying Song; An Su; Chengxi Li 002; Hongliang Duan (Briefings Bioinform., 2024)

Transfer learning across different chemical domains: virtual screening of organic materials with deep learning models pretrained on small molecule and chemical reaction data. - Chengwei Zhang; Yushuang Zhai; Ziyang Gong; Hongliang Duan; Yuan-Bin She; Yun-Fang Yang; An Su (J. Cheminformatics, 2024)

Predicting the structures of cyclic peptides containing unnatural amino acids by HighFold2. - Cheng Zhu; Sen Cao; Tianfeng Shang; Jingjing Guo; An Su; Chengxi Li 002; Hongliang Duan (Briefings Bioinform., 2025)

CycleDesigner: Leveraging CycRFdiffusion and HighFold to Design Cyclic Peptide Binders for Specific Targets. - Chenhao Zhang; Zhenyu Xu; Kang Lin; Ning Zhu; Chengyun Zhang; Wen Xu; Jingjing Guo; An Su; Chengxi Li 002; Hongliang Duan (J. Chem. Inf. Model., 2025)