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Curr Opin Biotechnol. 2015 Aug;34:125-34. doi: 10.1016/j.copbio.2014.12.017. Epub 2015 Jan 8.

Computing the functional proteome: recent progress and future prospects for genome-scale models.

Author information

1
Bioinformatics and Systems Biology Program, University of California, San Diego, United States; Department of Bioengineering, University of California, San Diego, United States.
2
Bioinformatics and Systems Biology Program, University of California, San Diego, United States; Department of Bioengineering, University of California, San Diego, United States; Department of Pediatrics, University of California, San Diego, United States; Novo Nordisk Center for Biosustainability, The Danish Technical University, Denmark. Electronic address: palsson@ucsd.edu.

Abstract

Constraint-based models enable the computation of feasible, optimal, and realized biological phenotypes from reaction network reconstructions and constraints on their operation. To date, stoichiometric reconstructions have largely focused on metabolism, resulting in genome-scale metabolic models (M-Models). Recent expansions in network content to encompass proteome synthesis have resulted in models of metabolism and protein expression (ME-Models). ME-Models advance the predictions possible with constraint-based models from network flux states to the spatially resolved molecular composition of a cell. Specifically, ME-Models enable the prediction of transcriptome and proteome allocation and limitations, and basal expression states and regulatory needs. Continued expansion in reconstruction content and constraints will result in an increasingly refined representation of cellular composition and behavior.

PMID:
25576845
PMCID:
PMC4495013
DOI:
10.1016/j.copbio.2014.12.017
[Indexed for MEDLINE]
Free PMC Article

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