Katherine C Chen

Summary

Affiliation: Virginia Polytechnic Institute and State University
Country: USA

Publications

  1. pmc Integrative analysis of cell cycle control in budding yeast
    Katherine C Chen
    Department of Biology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061 0406, USA
    Mol Biol Cell 15:3841-62. 2004
  2. pmc Analysis of a generic model of eukaryotic cell-cycle regulation
    Attila Csikasz-Nagy
    Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061 0406, USA
    Biophys J 90:4361-79. 2006
  3. pmc Optimization and model reduction in the high dimensional parameter space of a budding yeast cell cycle model
    Cihan Oguz
    Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia 24061, USA
    BMC Syst Biol 7:53. 2013
  4. pmc Top-down network analysis to drive bottom-up modeling of physiological processes
    Christopher L Poirel
    Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA
    J Comput Biol 20:409-18. 2013
  5. ncbi request reprint Modeling regulatory networks at Virginia Tech
    Nicholas A Allen
    The Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA
    OMICS 7:285-99. 2003
  6. ncbi request reprint Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell
    John J Tyson
    Department of Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
    Curr Opin Cell Biol 15:221-31. 2003
  7. pmc Stochastic exit from mitosis in budding yeast: model predictions and experimental observations
    David A Ball
    Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
    Cell Cycle 10:999-1009. 2011
  8. ncbi request reprint Cycling without the cyclosome: modeling a yeast strain lacking the APC
    Brian R Thornton
    Cancer Research Institute, Department of Biochemistry and Biophysics, University of California, San Francisco, USA
    Cell Cycle 3:629-33. 2004
  9. pmc Quantitative characterization of a mitotic cyclin threshold regulating exit from mitosis
    Frederick R Cross
    The Rockefeller University, New York, NY 10021, USA
    Mol Biol Cell 16:2129-38. 2005

Collaborators

Detail Information

Publications9

  1. pmc Integrative analysis of cell cycle control in budding yeast
    Katherine C Chen
    Department of Biology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061 0406, USA
    Mol Biol Cell 15:3841-62. 2004
    ....
  2. pmc Analysis of a generic model of eukaryotic cell-cycle regulation
    Attila Csikasz-Nagy
    Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061 0406, USA
    Biophys J 90:4361-79. 2006
    ....
  3. pmc Optimization and model reduction in the high dimensional parameter space of a budding yeast cell cycle model
    Cihan Oguz
    Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia 24061, USA
    BMC Syst Biol 7:53. 2013
    ....
  4. pmc Top-down network analysis to drive bottom-up modeling of physiological processes
    Christopher L Poirel
    Department of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA
    J Comput Biol 20:409-18. 2013
    ..Finally, we highlight how networks computed by LINKER elucidate the role of a protein kinase (Cdc5) in the mitotic exit network of a dynamic model of the cell cycle...
  5. ncbi request reprint Modeling regulatory networks at Virginia Tech
    Nicholas A Allen
    The Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA
    OMICS 7:285-99. 2003
    ..The software tools developed at Virginia Tech are designed to meet general requirements of modeling regulatory networks and are collected in a problem-solving environment called JigCell...
  6. ncbi request reprint Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell
    John J Tyson
    Department of Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
    Curr Opin Cell Biol 15:221-31. 2003
    ..These models shed light on the design principles of biological control systems and make predictions that have been verified experimentally...
  7. pmc Stochastic exit from mitosis in budding yeast: model predictions and experimental observations
    David A Ball
    Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
    Cell Cycle 10:999-1009. 2011
    ..Ultimately, the ability to accurately model stochastic phenotypes may prove critical to understanding disease and therapeutic interventions in higher eukaryotes...
  8. ncbi request reprint Cycling without the cyclosome: modeling a yeast strain lacking the APC
    Brian R Thornton
    Cancer Research Institute, Department of Biochemistry and Biophysics, University of California, San Francisco, USA
    Cell Cycle 3:629-33. 2004
    ..We discuss a few minor inconsistencies between the model and experiment, and how these may inform future revisions to the model...
  9. pmc Quantitative characterization of a mitotic cyclin threshold regulating exit from mitosis
    Frederick R Cross
    The Rockefeller University, New York, NY 10021, USA
    Mol Biol Cell 16:2129-38. 2005
    ..The loss of robustness of the Clb2 overexpressing system is also predicted by the model. These results provide strong confirmation of the model's predictive ability...