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董启文

联系电话: 办公时间:8:00-18:00 电子邮箱:qwdong@sei.ecnu.edu.cn

办公地点:华东师范大学中北校区数学馆东107

通讯地址:上海市普陀区中山北路3663号数学馆东107

研究方向 学术成果

网络信息学:

信息检索
统计机器学习
计算广告

生物信息学:

蛋白质结构预测、功能预测
生物网络建模
下一代测序技术

Selected publication:

  • Qiwen Dong, Rajasree, Menon, Gilbert, Omenn, Yang Zhang, A Structural Bioinformatics Inspection of neXtProt PE5 Proteins in the Human Proteome. J Proteome Res, 2015, 14, (9), pp. 3750-3761.

    Qiwen Dong, Shanyi Wang, Kai Wang, Xuan Liu, and Bin Liu, Identification of DNA-binding proteins by auto-cross covariance transformation. 2015 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015) pp. 470-475

  • Xiaoyang Jing, Qiwen Dong*, Xuan Liu, and Bin Liu, Protein model quality assessment by learning-to-rank. 2015 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015) pp. 91-96

  • Bin Liu, Deyuan Zhang, Ruifeng Xu, Jinghao Xu, Xiaolong Wang, Qingcai Chen, Qiwen Dong, and Kuo-Chen Chou, Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection. Bioinformatics, 2014. 30(4): p. 472-479.

  • Bin Liu, Xiaolong Wang, Quan Zou, Qiwen Dong, and Qingcai Chen, Protein Remote Homology Detection by Combining Chou’s Pseudo Amino Acid Composition and Profile‐Based Protein Representation. molecular informatics, 2013. 32(9‐10): p. 775-782.

  • Bin Liu, Xiaolong Wang, Qingcai Chen, Qiwen Dong, and Xun Lan, Using amino acid physicochemical distance transformation for fast protein remote homology detection. Plos One, 2012. 7(9): p. e46633.

  • Xin Geng, Jihong Guan, Qiwen Dong, and Shuigeng Zhou, An Improved Genetic Algorithm for Statistical Potential Function Design and Protein Structure Prediction. Internal journal of datamining and bioinformatics, 2012. 6(2): p. 162-177.

  • Yanfeng Zhang, Bin Liu, Qiwen Dong, and Victor X. Jin, An Improved Profile-Level Domain Linker Propensity Index for Protein Domain Boundary Prediction. Protein and Peptide Letters, 2011. 18(1): p. 7-16.

  • Xuan Liu, Lijie Zhao, and Qiwen Dong*, Protein remote homology detection based on auto-cross covariance transformation. Comput Biol Med, 2011. 41(8): p. 640-7.

  • Qiwen Dong and Shuigeng Zhou, Novel nonlinear knowledge-based mean force potentials based on machine learning. IEEE/ACM Trans Comput Biol Bioinform, 2011. 8(2): p. 476-486.

  • Qiwen Dong, Yufei Chen, and Shuigeng Zhou, A machine learning-based method for protein global model quality assessment. Internal journal of general system, 2011. 40(4): p. 417-425.

  • Lei Deng, Jihong Guan, Qiwen Dong, and Shuigeng Zhou, SemiHS: An Iterative Semi-Supervised Approach for Predicting Protein-protein Interaction Hot Spots Protein and Peptide Letters, 2011. 18(9): p. 896-905.

  • Qiwen Dong, Shuigeng Zhou, and Xuan Liu, Prediction of protein-protein interaction from primary sequence. Internal journal of datamining and bioinformatics, 2010. 4(2): p. 211-227.

  • Qiwen Dong, Shuigeng Zhou, Lei Deng, and Jihong Guan, Gene Ontology-Based Protein Function Prediction by Using Sequence Composition Information. Protein Pept Lett, 2010. 17(6): p. 789-795.

  • Qiwen Dong, Shuigeng Zhou, and Jihong Guan, A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation. Bioinformatics, 2009. 25(20): p. 2655-62.

  • Qiwen Dong, Xiaolong Wang, and Lei Lin, Application of latent semantic analysis to protein remote homology detection. Bioinformatics, 2006. 22(3): p. 285-290.