教育经历
2005-2008，厦门大学通信工程系通信与信息系统专业，博士
1994-1997，华中理工大学计算机系，硕士
1990-1994，华中理工大学计算机系，学士
工作经历
2002-至今，厦门大学计算机系任教
1997-2001，深圳华为技术有限公司研发部工作
主要研究方向为人工智能和生化分子领域的交叉结合，包括蛋白质结合位点分析和预测、蛋白质相互作用预测、针对靶点的小分子及蛋白大分子药物设计、人工智能辅助疫苗设计、生物网络数据的分析。
近年发表的相关文章
(1) Jun Xie; Youli Zhang; Ziyang Wang; Xiaocheng Jin; Xiaoli Lu; Shengxiang Ge*; Xiaoping Min*; PPI-Graphomer: enhanced protein-protein affinity prediction using pretrained and graph transformer models, BMC Bioinformatics, 2025, 26(1).
(2) Yu Zhang; Yunjiong Liu; Yulin Zhang; Ziyang Wang; Xiaoli Lu; Shengxiang Ge*; Xiaoping Min*; Systematic evaluation of predictors for binding free energy changes upon mutations in protein complexes, Briefings In Bioinformatics, 2025, 26(6).
(3) Huang Jianwei; Zhang Youli; Ren Shulin; Wang Ziyang; Jin Xiaocheng; Lu Xiaoli; Zhang Yu; Min Xiaoping*; Ge Shengxiang*; Zhang Jun*; Xia Ningshao*; MambaPhase: deep learning for liquid-liquid phase separation protein classification, Briefings In Bioinformatics, 2025, 26(3).
(4) Min Xiaoping; Zou Jiajun; Xie Jun; Yang Qianli; Liao Yiyang; Ying Junjie; Jin Xiaocheng; Lu Xiaoli; Zhang Jun; Yu Hai; Ge Shengxiang*; Xia Ningshao*; Equivariant Interaction-Aware Graph Network for Predicting the Binding Affinity of Protein-Ligand, IEEE Transactions On Computational Biology and Bioinformatics, 2025, 22(2): 855-866
(5) Min Xiaoping; Yang Chongzhou; Xie Jun; Huang Yang; Liu Nan; Jin Xiaocheng; Wang Tianshu; Kong Zhibo; Lu Xiaoli; Ge shengxiang*; Zhang Jun; Xia Ningshao*.Tpgen: a language model for stable protein design with a specific topology structure.BMC Bioinformatics,2024, 25(1).
(6) Qianli Yang; Xiaocheng Jin; Haixia Zhou; Junjie Ying; JiaJun Zou; Yiyang Liao; Xiaoli Lu; Shengxiang Ge; Hai Yu*; Xiaoping Min; SurfPro-NN: A 3D point cloud neural network for the scoring of protein–protein docking models based on surfaces features and protein language models, Computational Biology and Chemistry, 2024, 110(1)：108067.
(7) Xiaoping Min; Yiyang Liao; Xiao Chen; Qianli Yang; Junjie Ying; Jiajun Zou; Chongzhou Yang; Jun Zhang; Shengxiang Ge*; Ningshao Xia*; PB-GPT: An innovative GPT-based model for protein backbone generation, Structure, 2024, 32(10)：1-13.
(8) Zihao Chen; Nan Liu; Yang Huang; Xiaoping Min*; Xiangxiang Zeng; Shengxiang Ge*; Jun Zhang*; Ningshao Xia*; PointDE: Protein Docking Evaluation Using 3D Point Cloud Neural Network, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023, 20(5)：3128-3138.
