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. pmc A Model of Yeast Cell-Cycle Regulation Based on a Standard Component Modeling Strategy for Protein Regulatory Networks
    Teeraphan Laomettachit
    Genetics, Bioinformatics, and Computational Biology Program, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America
    PLoS ONE 11:e0153738. 2016
  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 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
  9. 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
  10. 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

Publications10

  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. pmc A Model of Yeast Cell-Cycle Regulation Based on a Standard Component Modeling Strategy for Protein Regulatory Networks
    Teeraphan Laomettachit
    Genetics, Bioinformatics, and Computational Biology Program, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America
    PLoS ONE 11:e0153738. 2016
    ..Our simulations show that mathematical modeling with "standard components" can capture in quantitative detail many essential properties of cell cycle control in budding yeast. ..
  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 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...
  9. 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...
  10. 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...