Emerging whole-cell modeling principles and methods
| Autor: | Balázs Szigeti, John Ap Sekar, Yosef D. Roth, Jonathan R. Karr, Yin Hoon Chew, Arthur P. Goldberg |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Computational model Computer science Biomedical Engineering Computational Biology Bioengineering Quantitative Biology - Quantitative Methods Models Biological Data science Genome Article Cell Physiological Phenomena 3. Good health Data sharing 03 medical and health sciences 030104 developmental biology FOS: Biological sciences Scalability Animals Humans Leverage (statistics) Whole cell Quantitative Methods (q-bio.QM) Biotechnology |
| Zdroj: | Current Opinion in Biotechnology. 51:97-102 |
| ISSN: | 0958-1669 |
| DOI: | 10.1016/j.copbio.2017.12.013 |
| Popis: | 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. 10 pages, 2 figures, 7 supplementary tables |
| Databáze: | OpenAIRE |
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