Journal
CELL
Volume 173, Issue 1, Pages 11-19Publisher
CELL PRESS
DOI: 10.1016/j.cell.2018.03.014
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Funding
- Bridge Institute, USC Dornsife College of Letters, Arts and Sciences, Provost Fellowship
- NIH [R01GM096089, R01 GM083960, P41 GM109824]
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The construction of a predictive model of an entire eukaryotic cell that describes its dynamic structure from atomic to cellular scales is a grand challenge at the intersection of biology, chemistry, physics, and computer science. Having such a model will open new dimensions in biological research and accelerate healthcare advancements. Developing the necessary experimental and modeling methods presents abundant opportunities for a community effort to realize this goal. Here, we present a vision for creation of a spatiotemporal multi-scale model of the pancreatic beta-cell, a relevant target for understanding and modulating the pathogenesis of diabetes.
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