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Liang HONG
Professor
Email address: hongl3liang@sjtu.edu.cn
EDUCATION
WORKING EXPERIENCE
RESEARCH
AWARDS
PUBLICATIONS
2006–2010 Ph.D. in Polymer Science, The University of Akron, USA
2004–2006 M.Sc. in Physics, The Chinese University of Hong Kong
2000–2004 B.Sc. in Physics, University of Science and Technology of China
2022–Present Professor and Ph.D. Supervisor, School of Physics and Astronomy & Institute of Natural Sciences, Shanghai Jiao Tong University
2015–2021 Tenured Associate Professor and Ph.D. Supervisor, School of Physics and Astronomy & Institute of Natural Sciences, Shanghai Jiao Tong University
2010–2014 Postdoctoral Researcher, Oak Ridge National Laboratory, USA
Design of protein and drug molecules with target functions using artificial intelligence methods
Structure, dynamics, and function of protein molecules, and the interrelationships among them
Microscopic mechanisms underlying cryopreservation techniques for biomacromolecules (proteins and nucleic acids)HONORS AND
His research projects have been strongly supported by the National Natural Science Foundation of China (including Key and General Programs), major projects from the Shanghai Municipal Science and Technology Commission and the Municipal Education Commission, as well as drug discovery collaborations with leading pharmaceutical companies.
Jiang, F. *, Li, M. *, Dong, J., Yu, Y., Sun, X., Wu, B., Huang, J., Kang, L., Pei, Y., Zhang, L., Wang, S., Xu, W., Xin, J., Ouyang, W., Fan, G., Zheng, L., Tan, Y., Hu, Z., Xiong, Y., Feng, Y., Yang, G., Liu, Q., Liu, J., Hong, L. † and Tan, P., † 2024. A general temperature-guided language model to design proteins of enhanced stability and activity. Science Advances, 10(48), p.eadr2641.
Zhou, B.*, Zheng, L.*, Wu, B.*, Tan, Y., Lv, O., Yi, K., Fan, G. and Hong, L.†, 2024. Protein engineering with lightweight graph denoising neural networks. Journal of Chemical Information and Modeling, 64(9), pp.3650-3661.
Li, M.*, Tan, Y. *, Ma, X., Zhong, B., Yu, H., Zhou, Z., Ouyang, W., Zhou, B. †, Tan, P. † and Hong, L. †, 2025. ProSST: Protein language modeling with quantized structure and disentangled attention. Advances in Neural Information Processing Systems, 37, 35700-35726.
Tan, Y.*, Zhou, B.*†, Zheng, L., Fan, G. and Hong, L., 2024. Semantical and Geometrical Protein Encoding Toward Enhanced Bioactivity and Thermostability. eLife, 13, p.RP98033.
Zhou, Z. *, Zhang, L. *, Yu, Y. *, Wu, B., Li, M., Hong, L. † and Tan, P. †, 2024. Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning. Nature Communications, 15(1), p.5566.
Kang, L.*, Wu, B.*, Zhou, B., Tan, P., Kang, Y.K., Yan, Y., Zong, Y., Li, S., Liu, Z. and Hong, L.†, 2025. AI-enabled alkaline-resistant evolution of protein to apply in mass production. eLife, 13, p.RP102788.
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