How cell-centered models are adding fundamental insights into our understanding of cell behaviors
AgentCell is the first simulation program to model a biochemical network at the molecular, single cell, and population levels simultaneously.
CompuCell-3D models behaviors rather than genes
How researchers are combining disparate data types and simulating systems that contain many different moving parts
A closer look at the curation of models discussed in The Physiome: A Mission Imperative
Simulations can teach us how young bodies and faces develop; how an artery compensates for decades of fatty plaque deposits by growing and thickening its walls; how tissue engineers can best coax endothelial cells to develop into organized sheets of skin for burn patients; and how cancerous tumors invade neighboring tissue.
Using computational models, researchers are gaining traction toward understanding what makes a stem cell a stem cell; how gene expression drives stem cell differentiation; why studying stem cell heterogeneity is important; and, ultimately, how stem cells control their fate.
Several big-dollar initiatives received NIH funding in late 2010
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