Areas of Focus
- Protein design and modification and its application in synthetic biology
Work Experience
- 2007-2011 - Postdoctoral Research: Mayo Clinic and University of Southern California
- 2011-present - Faculty: University of Science and Technology of China
Academic Background & Achievements
- 2007 - PhD in Biochemistry and Molecular Biology: University of Science and Technology of China
- 2017 - Selected for the Youth Innovation Promotion Association of the Chinese Academy of Sciences
Publications
- A backbone-centred energy function of neural networks for protein design, Bin Huang, Yang Xu, Xiuhong Hu, Yongrui Liu, Shanhui Liao, Jiahai Zhang, Chengdong Huang, Jingjun Hong, Quan Chen, Haiyan Liu, 2022
- De novo protein design with a denoising diffusion network independent of pretrained structure prediction models, Yufeng Liu, Sheng Wang, Jixin Dong, Linghui Chen, Xinyu Wang, Lei Wang, Fudong Li, Chenchen Wang, Jiahai Zhang, Yuzhu Wang, Si Wei, Quan Chen, Haiyan Liu, 2024
- Rotamer-Free Protein Sequence Design Based on Deep Learning and Self-Consistency, Yufeng Liu, Lu Zhang, Weilun Wang, Min Zhu, Chenchen Wang, Fudong Li, Jiahai Zhang, Houqiang Li, Quan Chen, Haiyan Liu, 2022
- Combined prediction and design reveal the target recognition mechanism of an intrinsically disordered protein interaction domain, Xiuhong Hu, Yang Xu, Chenchen Wang, Yufeng Liu, Lu Zhang, Jiahai Zhang, Wenning Wang, Quan Chen, Haiyan Liu, 2023
- Protein design with a comprehensive statistical energy function and boosted by experimental selection for foldability, Peng Xiong, Meng Wang, Xiaoqun Zhou, Tongchuan Zhang, Jiahai Zhang, Quan Chen, Haiyan Liu, 2014
- Integrating genome sequence and structural data for statistical learning to predict transcription factor binding sites, Long, Pengpeng; Zhang, Lu; Huang, Bin; Chen, Quan; Haiyan, Liu, 2020
- Using protein design and directed evolution to monomerize a bright near-infrared fluorescent protein, Xiuhong Hu, Yang Xu, Junxi Yi, Chenchen Wang, Zhongliang Zhu, Ting Yu, Haiyan Zhang, Xinyu Wang, Fan Wu, Lin Xue, Li Bai, Haiyan Liu, Quan Chen, 2024
Awards
- 2017: Selected for the Youth Innovation Promotion Association of the Chinese Academy of Sciences