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Literature DB >> 29570991

Opportunities and Challenges in Building a Spatiotemporal Multi-scale Model of the Human Pancreatic β Cell.

Jitin Singla¹, Kyle M McClary², Kate L White³, Frank Alber⁴, Andrej Sali⁵, Raymond C Stevens⁶.

Abstract

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 β-cell, a relevant target for understanding and modulating the pathogenesis of diabetes.

Entities: Chemical Disease Gene Species

Keywords: Whole-cell modeling; convergent bioscience; data-driven modeling; diabetes; integrative modeling; modeling of dynamics; multi-scale modeling; pancreatic β–cells; structure modeling

Mesh：

Substances：
Proteins

Year: 2018 PMID： 29570991 PMCID： PMC6014618 DOI： 10.1016/j.cell.2018.03.014

Source DB: PubMed Journal: Cell ISSN： 0092-8674 Impact factor: 41.582

85 in total

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