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Opportunities and Challenges in Building a Spatiotemporal Multi-scale Model of the Human Pancreatic ß Cell.
Singla, Jitin; McClary, Kyle M; White, Kate L; Alber, Frank; Sali, Andrej; Stevens, Raymond C.
Afiliação
  • Singla J; Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA; Department of Biological Sciences, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
  • McClary KM; Department of Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
  • White KL; Department of Biological Sciences, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA; Department of Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90
  • Alber F; Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA; Department of Biological Sciences, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA. Elect
  • Sali A; California Institute for Quantitative Biosciences, Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA. Electronic address: sali@salilab.org.
  • Stevens RC; Department of Biological Sciences, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA; Department of Chemistry, Bridge Institute, Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90
Cell ; 173(1): 11-19, 2018 03 22.
Article em En | MEDLINE | ID: mdl-29570991
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 ß-cell, a relevant target for understanding and modulating the pathogenesis of diabetes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Células Secretoras de Insulina / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Cell Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Células Secretoras de Insulina / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Cell Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos