研究团队

洪亮 特聘教授

研究领域:分子生物物理、AI蛋白质设计
研究单位:上海交通大学
办公地点:理科楼5号楼336
办公电话:021-54742996
电子邮箱:hongl3liang@sjtu.edu.cn  
学术链接:Google scholarORCID

工作经历
  • 2022-至今 上海交通大学 药学院&生命科学与技术学院&电子信息与电气工程学院 双聘教授
  • 2015-至今 上海交通大学 自然科学研究院&物理与天文学院&张江高等研究院&药学院 特聘教授,博士生导师
  • 2010-2014 美国橡树岭国家实验室,博士后(Jeremy C. Smith
教育经历
  • 2006-2010 美国阿克伦大学高分子科学系,博士(导师:  Alexei P. Sokolov)
  • 2004-2006 香港中文大学物理系, 硕士 (导师:郝少康)
  • 2000-2004 中国科学技术大学物理系,本科
学术任职
  1. 上海交通大学张江高等研究院人工智能生物医药中心 主任 (https://zias.sjtu.edu.cn/xsjg1/rgznswyyzx.htm
  2. 上海人工智能实验室 顾问科学家(http://www.shlab.org.cn/
科研成果
  • 获得基金委重点项目,面上项目,上海市科委,教委重大项目,以及头部药企等多项科研资助。累计发表SCI论文90余篇(其中包括40篇高影响力论文:Nature, Nature Physics, Physical Review Letters, PNAS, Science Advances, Nature Communications, JACS, Chemical Science等)。
近5年代表工作
  1. Yuanxi Yu, Fan Jiang, Xinzhu Ma, Liang Zhang, Bozitao Zhong, Wanli Ouyang, Guisheng Fan, Huiqun Yu, Liang Hong, Mingchen Li. Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models. NeurIPS, 2025
  2. Banghao Wu, Bozitao Zhong, Lirong Zheng, Runye Huang, Shifeng Jiang, Mingchen Li, Liang Hong, Pan Tan. Harnessing protein language model for structure-based discovery of highly efficient and robust PET hydrolases. Nature Communications, 2025
  3. Mingchen Li, Yang Tan, Xinzhu Ma, Bozitao Zhong, Huiqun Yu, Ziyi Zhou, Wanli Ouyang, Bingxin Zhou, Liang Hong, Pan Tan. ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention. NeurIPS, 2024
  4. Fan Jiang, Mingchen Li, Jiajun Dong, Yuanxi Yu, Xinyu Sun, Banghao Wu, Jin Huang, Liqi Kang, Yufeng Pei, Liang Zhang, Shaojie Wang, Wenxue Xu, Jingyao Xin, Wanli Ouyang, Guisheng Fan, Lirong Zheng, Yang Tan, Zhiqiang Hu, Yi Xiong, Yan Feng, Guangyu Yang, Qian Liu, Jie Song, Jia Liu, Liang Hong, Pan Tan. A general Temperature-Guided Language model to design proteins of enhanced Stability and Activity. Science Advances, 2024
  5. Weishu Zhao, Bozitao Zhong, Lirong Zheng, Pan Tan, Yinzhao Wang, Hao Leng, Nicolas de Souza, Zhuo Liu, Liang Hong, and Xiang Xiao. Proteome-wide 3D structure prediction provides insights into the ancestral metabolism of ancient archaea and bacteria. Nature Communications, 13, 7861 (2022).
  6. L. Zheng, H. Lu, B. Zan, S. Li, H. Liu, Z. Liu, J. Huang, Y. Liu, F. Jiang, Q. Liu,* Yan Feng, and L. Hong*. Loosely-packed Dynamical Structures with Partially-melted Surface Being the Key for Thermophilic Argonaute Proteins Achieving High DNA-cleavage Activity. Nucleic Acids Research, gkac565, 2022.
  7. Y. Yu, C. Yang, M. Baggioli, A. E. Phillips, A. Zaccone, L. Zhang, R. Kajimoto, M. Nakamura, D. Yu, L. Hong*. The ω3 scaling of the vibrational density of states in quasi-2D nanoconfined solids. Nature Communications, 13, 3649 (2022).
  8. L. Zheng, Z. Liu, Q. Zhang*, S. Li, J. Huang, L. Zhang, B. Zan, M. Tyagi, H. Cheng*, T. Zuo, V. G. Sakai, T. Yamada,C. Yang, P. Tan, F. Jiang, H. Chen, W. Zhuang*, L. Hong*. Universal Dynamical Onset in Water at Distinct Material Interfaces. Chem. Sci., 2022, 13, 4341.
  9. X. Qian*, D. Han, L. Zheng, J. Chen, M. Tyag, Q. Li, F. Du, S. Zheng, X. Huang*, S. Zhang, J. Shi, H. Huang*, X. Shi, J. Chen, H Qin, J. Bernholc, X. Chen, L. Q Chen, L. Hong*, Q. M. Zhang. High-entropy polymer produces a giant electrocaloric effect at low fields. Nature, 600.7890 (2021): 664-669.