Mathematical modeling of proteome constraints within metabolism
Review article, 2021

Genome-scale metabolic models (GEMs) are widely used to predict phenotypes with the aid of constraint-based modeling. In order to improve the predictive power of these models, there have been many efforts on imposing biological constraints, among which proteome constraints are of particular interest. Here we describe the concept of proteome constraints and review proteome-constrained GEMs, as well as their advantages and applications. In addition, we discuss a key issue in the field, i.e., low coverage of enzyme-specific turnover rates, and subsequently provide a few solutions to solve it. We end with a discussion on the trade-off between model complexity and capability.

Turnover rate

Constraint-based model

Genome-scale metabolic model

k cat

Proteome constraint

Author

Yu Chen

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Jens B Nielsen

Technical University of Denmark (DTU)

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

BioInnovation Institute

Current Opinion in Systems Biology

24523100 (eISSN)

Vol. 25 50-56

Subject Categories

Bioinformatics (Computational Biology)

Probability Theory and Statistics

Control Engineering

DOI

10.1016/j.coisb.2021.03.003

More information

Latest update

4/29/2021