Katherine C Chen

Summary

Affiliation: Virginia Polytechnic Institute and State University
Country: USA

Publications

  1. ncbi 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. ncbi 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. ncbi 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
  4. ncbi 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
  5. ncbi 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
  6. ncbi 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
  7. ncbi 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

Publications7

  1. ncbi 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. ncbi 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. ncbi 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...
  4. ncbi 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...
  5. ncbi 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...
  6. ncbi 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...
  7. ncbi 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...