北京生物结构前沿研究中心由清华大学与北京市科学技术委员会联合共建，成立于2018年。作为北京市构建高质量发展新范式的新型研发机构，中心充分发挥学科优势，积极推动结构生物学作为学科交叉点作用，致力于开展关键核心技术攻关和从0到1基础科学难题突破。
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中心充分发挥学科优势，积极推动结构生物学作为学科交叉点作用，重点布局了“新一代冷冻电镜装置及核心技术研发”、“人工智能驱动的生物结构新技术开发”、“基于生物结构的创新药物发现与研制”和“生物结构前沿知识发现与建立”等诸多前沿领域。
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Email：qczhang@tsinghua.edu.cn
Associate Professor | National Science Fund for Distinguished Young Scholars of China
1996-2000University of Science and Technology of China B.S.
2000-2006University of Science and Technology of China Ph.D.
2006-2011Columbia University Ph.D.
2011-2012Columbia University Postdoc.
2012-2015Stanford University School of Medicine Postdoc.
2015-2018School of Life Sciences, Tsinghua University Assistant Professor
2018-PresentSchool of Life Sciences, Tsinghua University Associate Professor
Working in the interface of structural biology, genomics, machine learning and big data analysis, our lab’s main research interest is to develop novel enabling techniques that use computation and high throughput experimentation for the study of structural systems biology. It includes but not limited to RNA secondary structure experimental probing and computational modeling, RNA functional motif discovery, protein-protein interaction and protein-RNA interaction network reconstruction. In particular, we are interested in bridging structures and networks for the better understanding, diagnosis, prognosis and the development of precise treatments for complex human diseases (such as cancer) and infection disease by RNA virus.
1. Meiling Piao, Pan Li, Xiaomin Zeng, Xi-Wen Wang, Lan Kang, Jinsong Zhang, Yifan Wei, Shaojun Zhang, Lei Tang, Jianghui Zhu, Chun Kit Kwok, Xiaoyu Hu#, Qiangfeng Cliff Zhang# (2022) An ultra low-input method for global RNA structure probing uncovers Regnase-1-mediated regulation in macrophages, Fundamental Research 2 (1), 2-13
2. Shaojun Zhang*, Wenze Huang*, Lili Ren*, Xiaohui Ju*, Mingli Gong*, Jian Rao*, Lei Sun, Pan Li, Qiang Ding#, Jianwei Wang#, Qiangfeng Cliff Zhang# (2022) Comparison of viral RNA-host protein interactomes across pathogenic RNA viruses informs rapid antiviral drug discovery for SARS-CoV-2, Cell Research 32 (1), 9-23
3. Lei Sun&, Pan Li&, Xiaohui Ju, Jian Rao, Wenze Huang&, Lili Ren, Shaojun Zhang&, Tuanlin Xiong&, Kui Xu&, Xiaolin Zhou, Mingli Gong, Eric Miska, Qiang Ding*, Jianwei Wang*, Qiangfeng Cliff Zhang*. (2021) In vivo structural characterization of the SARS-CoV-2 RNA genome identifies host proteins vulnerable to repurposed drugs, Cell 184 (7), 1865-1883. e20
4. Lei Sun&, Kui Xu&, Wenze Huang&, Yucheng Yang, Lei Tang&, Tuanlin Xiong&, Qiangfeng Cliff Zhang*. (2021) Predicting dynamic cellular protein-RNA interactions using deep learning and in vivo RNA structure, Cell Research 31 (5), 495-516
5. Jing Gong, Kui Xu, Ziyuan Ma, Zhi John Lu, Qiangfeng Cliff Zhang*. (2021) A deep learning method for recovering missing signals in transcriptome-wide RNA structure profiles from probing experiments. Nature Machine Intelligence 3 (11), 995-1006
6. Weng, X, Gong, J, Chen, Y, Wu, T, Wang, F, Yang, S, Yuan, Y, Luo, G, Chen, K, Hu, L, Ma, H, Wang, P, Zhang QC*, Zhou, X*, He C*. (2020) Keth-seq for transcriptome-wide RNA structure mapping. Nature Chemical Biology. (https://doi.org/10.1038/s41589-019-0459-3)
7. Xiong L, Xu K, Tian K, Shao Y, Tang L, Gao G, Zhang M, Jiang T, Zhang QC.（2019）SCALE method for single-cell ATAC-seq analysis via latent feature extraction. Nat Commun, 10: 4576.
8. L Sun, FM Fazal, P Li, JP Broughton, B Lee, L Tang, W Huang, HY Chang*, Zhang QC*. (2019) RNA structure maps across mammalian cellular compartments. Nat Struct Mol Biol., 26(4):322-330.
9. P Li, Y We, M Me, L Tang, L Sun, W Huang, J Zhou, C Zou, S Zhang, CF Qin, T Jiang, J Dai, X Tan*, Zhang QC*. (2018) Integrative Analysis of Zika Virus Genome RNA Structure Reveals Critical Determinants of Viral Infectivity. Cell host & microbe, 24(6): 875-886.
10. X Qian, J Zhao, PY Yeung, Zhang QC*, CK Kwok*. (2018) Revealing lncRNA Structures and Interactions by Sequencing-Based Approaches. Trends in biochemical sciences,44(1): 33-52.
