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PubMed · 15718691

A biologically derived approach to tissue modeling.

Tim Andersen·Tim Otter·Cap Petschulat·Ullysses Eoff·Tom Menten·Robert Davis·Bill Crowley
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Abstract

Our approach to tissue modeling incorporates biologically derived primitives into a computational engine (CellSim) coupled with a genetic search algorithm. By expanding an evolved synthetic genome CellSim is capable of developing a virtual tissue with higher order properties. Using primitives based on cell signaling, gene networks, cell division, growth, and death, we have encoded a 64-cell cube-shaped tissue with emergent capacity to repair itself when up to 60% of its cells are destroyed. Other tissue shapes such as sheets of cells also repair themselves. Capacity for self-repair is an emergent property derived from, but not specified by, the rule sets used to generate these virtual tissues.

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CellsComputer SimulationHumansModels, BiologicalSoftwareUnited StatesJournal ArticleResearch Support, U.S. Gov't, Non-P.H.S.

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Tim Andersen, Tim Otter, Cap Petschulat, Ullysses Eoff, Tom Menten, Robert Davis, Bill Crowley. 2005. A biologically derived approach to tissue modeling.. https://pubmed.ncbi.nlm.nih.gov/15718691/

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