[Zheng Wang]

Zheng Wang

  • Ph.D. Graduate Student
  • Department of Computer Science
  • 109 Engineering Building West
  • Columbia, MO 65211, USA

Research

I am a Ph.D. student in the Bioinformatics laboratory of Dr. Jianlin Cheng. My research focuses on applying statistical machine learning techniques in molecular biology. The main techniques applied include neural networks, support vector machines, hidden Markov models, Bayesian networks, and clustering methods.

My research mainly focuses on protein structure prediction, protein model quality assessment, protein contact map prediction, protein fold recognition, protein disordered region prediction. I also participate in the development of Bioinformatics web-based tools and databases in our group, and some projects with soybean and maize researchers.

Education

Publications

  • Journals
    1. Jianlin Cheng, Zheng Wang, Allison N. Tegge, and Jesse Eickholt. Prediction of Global and Local Quality of CASP8 Models by MULTICOM Series. PROTEINS: Structure, Function, and Bioinformatics, In press, 2009. [PDF] [HTML] This arcicle is an invited publication by CASP8.

    2. Allison N. Tegge, Zheng Wang (joint first author), Jesse Eickholt, and Jianlin Cheng. NNcon: Improved Protein Contact Map Prediction Using 2D-Recursive Neural Networks. Nucleic Acids Research, May, 2009. [PDF] [HTML] NNcon was ranked among the best contact map prediction methods in CASP8.

    3. Zheng Wang, Allison N. Tegge, Jianlin Cheng. Evaluating the absolute quality of a single protein model using structural features and support vector machines. PROTEINS: Structure, Function, and Bioinformatics, 2009. 75(3): p.638-647. [PDF] [HTML] ModelEvaluator was ranked among the best model evaluation methods in CASP8.

  • Conferences
    1. Jianlin Cheng, Zheng Wang, and Gianluca Pollastri. A Neural Network Approach to Ordinal Regression. International Joint Conference on Neural Networks (IJCNN), Hong Kong, 2008. [PDF]

  • Book Chapters
    1. Allison N. Tegge, Zheng Wang, and Jianlin Cheng. Integrative Protein Fold Recognition by Alignments and Machine Learning. Protein Structure Prediction: Method and Algorithms (editors: H. Rangwala and G. Karypis), Wiley, 2009.

  • Thesis
    1. Zheng Wang, Patricia Evans, and Virendrakumar C. Bhavsar, Consensus Prediction of Protein Secondary Structures. Master of Computer Science thesis, University of New Brunswick, Canada, 2007.[PDF]

  • Posters
    1. Zheng Wang, Patricia Evans, and Virendrakumar C. Bhavsar. CISPred: Consensus Integrated Protein Structure Prediction, UNB Computer Science Research Expo, Fredericton, 2007. [Abstract][Poster]

Web-based Tools and Services

  • NNcon: protein contact map prediction tool using artificial neral networks
  • SeqRate: sequence-based protein folding rate prediction
  • SoyDB: a knowledge database of soybean transcription factors

Full-time Work Experience