Jianwen Fang

Summary

Affiliation: University of Kansas
Country: USA

Publications

  1. Fang J, Haasl R, Dong Y, Lushington G. Discover protein sequence signatures from protein-protein interaction data. BMC Bioinformatics. 2005;6:277 pubmed
    ..The significance of these discovered signatures was demonstrated by their application in predicting sub-cellular localizations and identifying potential interaction binding sites of yeast proteins. ..
  2. Fang J, Koen Y, Hanzlik R. Bioinformatic analysis of xenobiotic reactive metabolite target proteins and their interacting partners. BMC Chem Biol. 2009;9:5 pubmed publisher
    ..The insights provided can readily be formulated as hypotheses to test in future experimental studies. ..
  3. Fang Y, Fang J. Discrimination of soluble and aggregation-prone proteins based on sequence information. Mol Biosyst. 2013;9:806-11 pubmed publisher
    ..Our results provide not only a reliable model for predicting protein solubility but also a list of features important to protein solubility. The predictive model is implemented as a freely available web application at . ..

Detail Information

Publications3

  1. Fang J, Haasl R, Dong Y, Lushington G. Discover protein sequence signatures from protein-protein interaction data. BMC Bioinformatics. 2005;6:277 pubmed
    ..The significance of these discovered signatures was demonstrated by their application in predicting sub-cellular localizations and identifying potential interaction binding sites of yeast proteins. ..
  2. Fang J, Koen Y, Hanzlik R. Bioinformatic analysis of xenobiotic reactive metabolite target proteins and their interacting partners. BMC Chem Biol. 2009;9:5 pubmed publisher
    ..The insights provided can readily be formulated as hypotheses to test in future experimental studies. ..
  3. Fang Y, Fang J. Discrimination of soluble and aggregation-prone proteins based on sequence information. Mol Biosyst. 2013;9:806-11 pubmed publisher
    ..Our results provide not only a reliable model for predicting protein solubility but also a list of features important to protein solubility. The predictive model is implemented as a freely available web application at . ..