Dawn Walker

Summary

Affiliation: University of Sheffield
Country: UK

Publications

  1. ncbi The epitheliome: agent-based modelling of the social behaviour of cells
    D C Walker
    Department of Computer Science, University of Sheffield, Sheffield, UK
    Biosystems 76:89-100. 2004
  2. ncbi Electrical impedance spectroscopy of the cervix in non-pregnant and pregnant women
    Saurabh V Gandhi
    Academic Unit of Reproductive and Developmental Medicine, University of Sheffield, Sheffield Teaching Hospitals NHS Trust, Sheffield, United Kingdom
    Eur J Obstet Gynecol Reprod Biol 129:145-9. 2006
  3. ncbi Modeling the effect of exogenous calcium on keratinocyte and HaCat cell proliferation and differentiation using an agent-based computational paradigm
    Dawn Walker
    Department of Computer Science, Kroto Research Institute, North Campus, University of Sheffield, Broad Lane, Sheffield, United Kingdom
    Tissue Eng 12:2301-9. 2006
  4. ncbi Comparison of human uterine cervical electrical impedance measurements derived using two tetrapolar probes of different sizes
    Saurabh V Gandhi
    Academic Unit of Reproductive and Developmental Medicine, University of Sheffield and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
    Biomed Eng Online 5:62. 2006
  5. ncbi An integrated agent-mathematical model of the effect of intercellular signalling via the epidermal growth factor receptor on cell proliferation
    Dawn Walker
    Department of Computer Science, Kroto Institute, North Campus, Broad Lane, Sheffield S3 7HQ, UK
    J Theor Biol 242:774-89. 2006
  6. ncbi Modelling the electrical properties of bladder tissue--quantifying impedance changes due to inflammation and oedema
    D C Walker
    Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK
    Physiol Meas 26:251-68. 2005
  7. ncbi From pathway to population--a multiscale model of juxtacrine EGFR-MAPK signalling
    D C Walker
    Department of Computer Science, University of Sheffield, Kroto Research Institute, North Campus, Broad Lane, Sheffield, S3 7HQ, UK
    BMC Syst Biol 2:102. 2008
  8. ncbi Anti-social cells: predicting the influence of E-cadherin loss on the growth of epithelial cell populations
    D C Walker
    Department of Computer Science, Kroto Institute, North Campus, Broad Lane, University of Sheffield, Sheffield S3 7HQ, UK
    J Theor Biol 262:425-40. 2010
  9. ncbi A study of the morphological parameters of cervical squamous epithelium
    D C Walker
    Medical Physics and Engineering, University of Sheffield, Floor I, Royal Hallamshire Hospital, Glossop Road, Sheffield S 10 2JF, UK
    Physiol Meas 24:121-35. 2003
  10. ncbi Agent-based computational modeling of wounded epithelial cell monolayers
    D C Walker
    Department of Computer Science, University of Sheffield, Sheffield S1 4DP, UK
    IEEE Trans Nanobioscience 3:153-63. 2004

Collaborators

Detail Information

Publications18

  1. ncbi The epitheliome: agent-based modelling of the social behaviour of cells
    D C Walker
    Department of Computer Science, University of Sheffield, Sheffield, UK
    Biosystems 76:89-100. 2004
    ..Results show a qualitative fit between the growth characteristics produced by the simulation and the in vitro cell models...
  2. ncbi Electrical impedance spectroscopy of the cervix in non-pregnant and pregnant women
    Saurabh V Gandhi
    Academic Unit of Reproductive and Developmental Medicine, University of Sheffield, Sheffield Teaching Hospitals NHS Trust, Sheffield, United Kingdom
    Eur J Obstet Gynecol Reprod Biol 129:145-9. 2006
    ..Cervical extracellular matrix synthesis and leukocyte infiltration may account for the increased tissue impedance noted in the 3rd trimester...
  3. ncbi Modeling the effect of exogenous calcium on keratinocyte and HaCat cell proliferation and differentiation using an agent-based computational paradigm
    Dawn Walker
    Department of Computer Science, Kroto Research Institute, North Campus, University of Sheffield, Broad Lane, Sheffield, United Kingdom
    Tissue Eng 12:2301-9. 2006
    ..This demonstrates the application of computational modeling to hypothesis testing in biological systems...
  4. ncbi Comparison of human uterine cervical electrical impedance measurements derived using two tetrapolar probes of different sizes
    Saurabh V Gandhi
    Academic Unit of Reproductive and Developmental Medicine, University of Sheffield and Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
    Biomed Eng Online 5:62. 2006
    ....
  5. ncbi An integrated agent-mathematical model of the effect of intercellular signalling via the epidermal growth factor receptor on cell proliferation
    Dawn Walker
    Department of Computer Science, Kroto Institute, North Campus, Broad Lane, Sheffield S3 7HQ, UK
    J Theor Biol 242:774-89. 2006
    ....
  6. ncbi Modelling the electrical properties of bladder tissue--quantifying impedance changes due to inflammation and oedema
    D C Walker
    Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK
    Physiol Meas 26:251-68. 2005
    ....
  7. ncbi From pathway to population--a multiscale model of juxtacrine EGFR-MAPK signalling
    D C Walker
    Department of Computer Science, University of Sheffield, Kroto Research Institute, North Campus, Broad Lane, Sheffield, S3 7HQ, UK
    BMC Syst Biol 2:102. 2008
    ....
  8. ncbi Anti-social cells: predicting the influence of E-cadherin loss on the growth of epithelial cell populations
    D C Walker
    Department of Computer Science, Kroto Institute, North Campus, Broad Lane, University of Sheffield, Sheffield S3 7HQ, UK
    J Theor Biol 262:425-40. 2010
    ..In addition to directly influencing population dynamics, 'anti-social' cells can also disrupt the behaviour of the normal cells around them...
  9. ncbi A study of the morphological parameters of cervical squamous epithelium
    D C Walker
    Medical Physics and Engineering, University of Sheffield, Floor I, Royal Hallamshire Hospital, Glossop Road, Sheffield S 10 2JF, UK
    Physiol Meas 24:121-35. 2003
    ..We therefore present the results of our own basic image analysis on normal and pathological tissue sections, which we hope will be of use to other workers wishing to model cervical squamous epithelium, or other similar tissue structures...
  10. ncbi Agent-based computational modeling of wounded epithelial cell monolayers
    D C Walker
    Department of Computer Science, University of Sheffield, Sheffield S1 4DP, UK
    IEEE Trans Nanobioscience 3:153-63. 2004
    ..Differences between the in vitro and in silico models suggest a role for wound-induced signaling events in urothelial cell cultures...
  11. ncbi Constructing complex 3D biological environments from medical imaging using high performance computing
    Mark Burkitt
    Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello, Sheffield S1 4DP, United Kingdom
    IEEE/ACM Trans Comput Biol Bioinform 9:643-54. 2012
    ..The GPU is used for the processor intensive operations of image processing and particle physics based simulations, significantly reducing the time required to generate a complete model...
  12. ncbi Modelling the interaction of haemodynamics and the artery wall: current status and future prospects
    P V Lawford
    Academic Unit Medical Physics and Clinical Engineering, University of Sheffield, UK
    Biomed Pharmacother 62:530-5. 2008
    ..New technologies to enable the integration of models of different types, levels of complexity and scales, are being developed. As will be discussed, the ultimate goal is the translation of this technology to the clinical arena...
  13. ncbi Modelled current distribution in cervical squamous tissue
    D C Walker
    Department of Medical Physics and Clinical Engineering, University of Sheffield, Royal Hallamshire Hospital, UK
    Physiol Meas 23:159-68. 2002
    ..The best fit with measured data is obtained when a 10 microm thick, high-conductivity surface layer is included in the tissue model...
  14. ncbi Electrical bioimpedance readings increase with higher pressure applied to the measuring probe
    C A Gonzalez-Correa
    Department of Medical Physics and Clinical Engineering, Royal Hallamshire Hospital, Glossop Road, S10 2JF, Sheffield, UK
    Physiol Meas 26:S39-47. 2005
    ..Finally, as pressure is difficult to control by hand, we raise the issue of the necessity of considering this variable when making EIS measurements...
  15. ncbi Modelling of epithelial tissue impedance measured using three different designs of probe
    D M Jones
    Medical Physics and Engineering, University of Sheffield, Royal Hallamshire Hospital, Glossop Road, Sheffield, S10 2JF, UK
    Physiol Meas 24:605-23. 2003
    ..This effect has been investigated, and a new design of probe, which uses a guard electrode to counteract this potential source of variability, is proposed...
  16. ncbi High performance cellular level agent-based simulation with FLAME for the GPU
    Paul Richmond
    Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello, Sheffield S1 4DP, UK
    Brief Bioinform 11:334-47. 2010
    ..This allows the time spent in the development and testing stages of modelling to be drastically reduced and creates the possibility of real-time visualisation for simple visual face-validation...
  17. ncbi Computational modelling of maternal interactions with spermatozoa: potentials and prospects
    Mark Burkitt
    The Department of Computer Science, University of Sheffield, Sheffield, Regent Court, 211 Portobello, Sheffield S1 4DP, UK
    Reprod Fertil Dev 23:976-89. 2011
    ..In silico models of maternal communication with gametes and embryos can be used as tools to complement in vivo experiments, in the same way as in vitro and in situ models...
  18. ncbi Development and validation of computational models of cellular interaction
    R H Smallwood
    Department of Computer Science, University of Sheffield, 211 Portobello Street, Sheffield, S1 4DP, UK
    J Mol Histol 35:659-65. 2004
    ..A modelling paradigm for developing a predictive computational model of cellular interaction is described, and methods of providing robust validation against biological models are explored, followed by a consideration of software issues...