联系方式

邮箱:xinqigong@ruc.edu.cn

个人主页

龚新奇 博士

研究员

个人履历

1997-2001北京航空航天大学 本科

2003-2010北京工业大学 硕士、博士研究生

2009-2010 IBM公司 访问学者

2010-2014 清华大学 博士后

2017-2019 哈佛大学 访问学者

2014-至今 中国人民大学 教授

主要科研领域与方向

1. 蛋白质-蛋白质相互作用计算

2. 基于CryoEM数据和几何原理的超大蛋白质复合物结构预测

3. 用于大数据分析的机器学习算法

代表性论文

1. Xinqi Gong, Panwen Wang, Feng Yang, Shan Chang, Bin Liu, Hongqiu He, Libin Cao, Xianjin Xu, Chunhua Li, Weizu Chen, and Cunxin Wang. (2010). Protein-protein docking with binding site patch prediction and network-based terms enhanced combinatorial scoring. Proteins 78, 3150–3155.

2. Xinqi Gong, Bin Liu, Shan Chang, Chunhua Li, Weizu Chen, and Cunxin Wang. (2010). A holistic molecular docking approach for predicting protein-protein complex structure. Science in China 53, 1152-1161.

3. Tingliang Wang, Guobin Fu, Xiaojing Pan, Jianping Wu, Xinqi Gong, Jiawei Wang and Yigong Shi. (2013). Structure of a bacterial energy-coupling factor transporter. Nature 497, 272–276.

4. Yongxiao Yang, Xinqi Gong. (2018). A new probability method to understand protein-protein interface formation mechanism at amino acid level. Journal of Theoretical Biology 436, 18-25.

5. Min Fu, Wenming Wu, Xiafei Hong, Qiuhua Liu, Jialin Jiang, Yaobin Ou, Yupei Zhao, Xinqi Gong. (2018). Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images. BMC Systems Biology 12, 56.

6. Zhao Zhenni, Gong Xinqi. Protein-protein interaction interface residue pair prediction based on deep learning architecture. IEEE/ACM Trans Comput Biol Bioinform. 2017.

7. Wang Wei, Yang Yongxiao, Yin Jianxin, Gong Xinqi. Different protein-protein interface patterns predicted by different machine learning methods. Sci Rep. 2017;7(1):16023.