Professor | Quan Chen | Asia Growth Partners

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Name	Quan Chen
Contact Information	chenquan@ustc.edu.cn
Language ability	English, Chinese
Province	Anhui

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Name

Quan Chen

Contact Information

chenquan@ustc.edu.cn

Language ability

English, Chinese

Province

Anhui

University/Lab Affiliation and Title	University of Science and Technology of China
Faculty	Life Sciences
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
Work Experience	2007-2011 - Postdoctoral Research: Mayo Clinic and University of Southern California 2011-present - Faculty: University of Science and Technology of China
Awards	2017: Selected for the Youth Innovation Promotion Association of the Chinese Academy of Sciences

University/Lab Affiliation and Title

University of Science and Technology of China

Faculty

Life Sciences

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

Work Experience

2007-2011 - Postdoctoral Research: Mayo Clinic and University of Southern California
2011-present - Faculty: University of Science and Technology of China

Awards

2017: Selected for the Youth Innovation Promotion Association of the Chinese Academy of Sciences

Areas of Focus	Protein design and modification and its application in synthetic biology
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

Areas of Focus

Protein design and modification and its application in synthetic biology

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

Protein Design Modification Synthetic Biology G Protein-Coupled Receptors Zinc Finger Proteins Neural Networks Deep Learning Energy Function Structure Prediction Directed Evolution

Yudong Cai - Shanghai University

Wang Luman - Peking University

Qiang Li - Huazhong University of Science and Technology

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