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News
  • Yi-Heng Zhu's paper entitled "Accurate Multi-Stage Prediction of Protein Crystallization Propensity Using Deep-Cascade Forest with Sequence-Based Features" has been accepted by Briefings in Bioinformatics. This work was done collaboratively by researchers from Nanjing University of Science and Technology, Monash University, and University of Michigan (Ann Arbor). (2020.04).

  • SSCpred, which can predict protein contact map with only the target sequence itself, is accepted by Journal of Chemical Information and Modeling. (2020.04).

  • Yang Li's paper has been accepted by Bioinformatics, (2019.04).

  • Yi-Heng Zhu's paper has been accepted by Journal of Chemical Information and Modeling, (2019.03).

  • Dr. Jiangning Song from Monash University, Australia visited NJUST and gave a talk entitled "Harnessing the power of machine-learning and artificial intelligence techniques to address significant biomedical classification problems in the big data-driven era", (2018.12).

  • Ph.D student Yiheng Zhu attended the I-TASSER 2018 & First Structural Bioinformatics Workshop at Hangzhou, China, on November 23-25, 2018.

  • He Yan's paper has been accepted by Machine Learning, (2018.10).

  • Prof. Yang Zhang from University of Michigan (Ann Arbor) visited our lab, 2018.

  • Jun Hu's paper has been accepted by Bioinformatics, (2018.02).

  • Jun Hu's paper has been accepted by Journal of Chemical Information and Modeling, (2018.01).

  • Chun-Qiu Xia's paper has been accepted by IEEE/ACM Transactions on Computational Biology and Bioinformatics , (2017.06).


Introduction


We are interested in the following topics:
  •      Pattern Recognition

  •      Machine Learning

  •      Neural Networks and Fuzzy Systems

  •      Protein Structure and Function Analysis

  •      Protein-Protein Interaction Network

  •      Large-Scale Protein Data Mining

  •      DNA/RNA Functionality Analysis