论文著作：
1. Cooperativity, Local-Nonlocal Coupling, and Nonnative Interactions: Principles of Protein Folding from Coarse-Grained Models
Hue Sun Chan; Zhuqing Zhang; Stefan Wallin; Zhirong Liu
Annual review of physical chemistry, 2011
2. LLPSDB: a Database of Proteins Undergoing Liquid–liquid Phase Separation in Vitro
Qian Li; Xiaojun Peng; Yuanqing Li; Wenqin Tang; Jia'an Zhu; Jing Huang; Yifei Qi; Zhuqing Zhang
Nucleic Acids Research, 2019
3. Identification of Amyloid Fibril-Forming Segments Based on Structure and Residue-Based Statistical Potential
Zhuqing Zhang; Hao Chen; Luhua Lai
Bioinformatics, 2007
4. Prediction of Liquid-Liquid Phase Separation Proteins Using Machine Learning
Chu Xiaoquan; Sun Tanlin; Li Qian; Xu Youjun; Zhang Zhuqing; Lai Luhua; Pei Jianfeng
BMC Bioinformatics, 2022
5. Competition Between Native Topology and Nonnative Interactions in Simple and Complex Folding Kinetics of Natural and Designed Proteins
Zhuqing Zhang; Hue Sun Chan
Proceedings of the National Academy of Sciences, 2010
6. Molecular Dynamics Simulations on the Oligomer-Formation Process of the GNNQQNY Peptide from Yeast Prion Protein Sup35.
Zhuqing Zhang; Hao Chen; Hongjun Bai; Luhua Lai
Biophysical Journal, 2007
7. Kinetic Consequences of Native State Optimization of Surface‐exposed Electrostatic Interactions in the Fyn SH3 Domain
Arash Zarrine-Afsar; Zhuqing Zhang; Katrina L. Schweiker; George I. Makhatadze; Alan R. Davidson; Hue Sun Chan
Proteins Structure Function and Bioinformatics, 2011
8. Transition Paths, Diffusive Processes, and Preequilibria of Protein Folding
Zhuqing Zhang; Hue Sun Chan
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2012
9. Native Topology of the Designed Protein Top7 is Not Conducive to Cooperative Folding
Zhuqing Zhang; Hue Sun Chan
BIOPHYSICAL JOURNAL, 2009
10. LLPSDB V2.0: an Updated Database of Proteins Undergoing Liquid–liquid Phase Separation in Vitro
Xi Wang; Xiang Zhou; Qinglin Yan; Shaofeng Liao; Wenqin Tang; Peiyu Xu; Yangzhenyu Gao; Qian Li; Zhihui Dou; Weishan Yang; Beifang Huang; Jinhong Li; Zhuqing Zhang
BIOINFORMATICS, 2022
张竹青
研究领域：
新材料,石油炼制,石油化工,精细化工,生物医药
研究方向：
生物大分子的理论计算
所在单位：
中国科学院大学
