OpenVT seeks to build an engaged community of researchers that use and develop open source multicellular modeling frameworks. These frameworks allow virtual experiments (simulations) of cell behaviors within tissues and organs. The goals of OpenVT are to:
Some relevant publications that have compared multicellular modeling frameworks include:
Comparing individual-based approaches to modelling the self-organization of multicellular tissues (2017). James M. Osborne, Alexander G. Fletcher, Joe M. Pitt-Francis, Philip K. Maini, David J. Gavaghan. https://doi.org/10.1371/journal.pcbi.1005387
A Review of Cell-Based Computational Modeling in Cancer Biology (2019). John Metzcar, Yafei Wang, Randy Heiland, Paul Macklin. https://doi.org/10.1200/CCI.18.00069
Hybrid Automata Library: A flexible platform for hybrid modeling with real-time visualization (2020). Rafael R. Bravo, Etienne Baratchart, Jeffrey West, Ryan O. Schenck, Anna K. Miller, Jill Gallaher, Chandler D. Gatenbee, David Basanta, Mark Robertson-Tessi, Alexander R. A. Anderson. https://doi.org/10.1371/journal.pcbi.1007635
National Science Foundation (Award 2303695)