تقرير
Emerging whole-cell modeling principles and methods
| العنوان: | Emerging whole-cell modeling principles and methods |
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| المؤلفون: | Goldberg, Arthur P., Szigeti, Balázs, Chew, Yin Hoon, Sekar, John A. P., Roth, Yosef D., Karr, Jonathan R. |
| سنة النشر: | 2017 |
| المجموعة: | Quantitative Biology |
| مصطلحات موضوعية: | Quantitative Biology - Quantitative Methods |
| الوصف: | Whole-cell computational models aim to predict cellular phenotypes from genotype by representing the entire genome, the structure and concentration of each molecular species, each molecular interaction, and the extracellular environment. Whole-cell models have great potential to transform bioscience, bioengineering, and medicine. However, numerous challenges remain to achieve whole-cell models. Nevertheless, researchers are beginning to leverage recent progress in measurement technology, bioinformatics, data sharing, rule-based modeling, and multi-algorithmic simulation to build the first whole-cell models. We anticipate that ongoing efforts to develop scalable whole-cell modeling tools will enable dramatically more comprehensive and more accurate models, including models of human cells. Comment: 10 pages, 2 figures, 7 supplementary tables |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1016/j.copbio.2017.12.013 |
| URL الوصول: | http://arxiv.org/abs/1710.02431 |
| رقم الأكسشن: | edsarx.1710.02431 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1016/j.copbio.2017.12.013 |
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