Original title:
Silicocell: A Novel Tool For Tumor And Cell Growth Simulation
Authors:
Bělehrádek, Stanislav Document type: Papers
Language:
cze Publisher:
Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií Abstract:
Modern research in cell biology requires utilization of advanced tools of systems biology as only the deep understanding of various signaling pathways in cells brings substantial information for setting up a targeted therapy for genetic disorders or cancer. Therefore, in silico modelling became an inseparable part of the cell research. Here, I present novel simple-to-control software to analyze and visualize a human cell colony dynamics based on cell cycle regulation and principles of known signaling pathways allowing a simulation of tumor cells proliferation in healthy tissue. The tool available at Github is written in C++ and utilizes OpenGL for visualization.
Keywords:
cell; cell cycle; modelling; system biology; tumor growth Host item entry: Proceedings of the 23st Conference STUDENT EEICT 2017, ISBN 978-80-214-5496-5
Institution: Brno University of Technology
(web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library. Original record: http://hdl.handle.net/11012/187063