Qiwen Dong

Summary

Affiliation: Fudan University
Country: China

Publications

  1. pmc Prediction of protein-protein interaction sites using an ensemble method
    Lei Deng
    Department of Computer Science and Technology, Tongji University, Shanghai 201804, China
    BMC Bioinformatics 10:426. 2009
  2. ncbi request reprint Gene ontology-based protein function prediction by using sequence composition information
    Qiwen Dong
    Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, China
    Protein Pept Lett 17:789-95. 2010
  3. ncbi request reprint Prediction of protein-protein interactions from primary sequences
    Qiwen Dong
    Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai 200433, China
    Int J Data Min Bioinform 4:211-27. 2010
  4. doi request reprint Novel nonlinear knowledge-based mean force potentials based on machine learning
    Qiwen Dong
    Shanghai Key Lab of Intelligent Information Processing and the School of Computer Science, Fudan University, Old Yifu Building, Room 202 5, 220 Handan Road, Shanhai 200433, China
    IEEE/ACM Trans Comput Biol Bioinform 8:476-86. 2011
  5. doi request reprint A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation
    Qiwen Dong
    Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University and Department of Computer Science and Technology, Tongji University, Shanghai, China
    Bioinformatics 25:2655-62. 2009

Detail Information

Publications5

  1. pmc Prediction of protein-protein interaction sites using an ensemble method
    Lei Deng
    Department of Computer Science and Technology, Tongji University, Shanghai 201804, China
    BMC Bioinformatics 10:426. 2009
    ..Although much progress has been achieved by using various machine learning methods and a variety of available features, the problem is still far from being solved...
  2. ncbi request reprint Gene ontology-based protein function prediction by using sequence composition information
    Qiwen Dong
    Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, China
    Protein Pept Lett 17:789-95. 2010
    ..The results obtained here are helpful for the prediction of protein function by using only sequence information...
  3. ncbi request reprint Prediction of protein-protein interactions from primary sequences
    Qiwen Dong
    Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai 200433, China
    Int J Data Min Bioinform 4:211-27. 2010
    ..We also demonstrate that the use of Latent Semantic Analysis (LSA) can efficiently remove noise and improve the prediction efficiency without significantly degrading the performance...
  4. doi request reprint Novel nonlinear knowledge-based mean force potentials based on machine learning
    Qiwen Dong
    Shanghai Key Lab of Intelligent Information Processing and the School of Computer Science, Fudan University, Old Yifu Building, Room 202 5, 220 Handan Road, Shanhai 200433, China
    IEEE/ACM Trans Comput Biol Bioinform 8:476-86. 2011
    ..The nonlinear potentials can be widely used for ab initio protein structure prediction, model quality assessment, protein docking, and other challenging problems in computational biology...
  5. doi request reprint A new taxonomy-based protein fold recognition approach based on autocross-covariance transformation
    Qiwen Dong
    Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University and Department of Computer Science and Technology, Tongji University, Shanghai, China
    Bioinformatics 25:2655-62. 2009
    ....