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Emerging whole-cell modeling principles and methods.

ABSTRACT: 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.

SUBMITTER: Goldberg AP

PROVIDER: S-EPMC5997489 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Emerging whole-cell modeling principles and methods.

Goldberg Arthur P AP Szigeti Balázs B Chew Yin Hoon YH Sekar John Ap JA Roth Yosef D YD Karr Jonathan R JR

Current opinion in biotechnology 20171221

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, bioinfo ...[more]

PMID: 29275251

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