- Home
- Publications
- Publication Search
- Publication Details
Title
solveME: fast and reliable solution of nonlinear ME models
Authors
Keywords
Nonlinear optimization, Constraint-based modeling, Metabolism, Proteome, Quasiconvex
Journal
BMC BIOINFORMATICS
Volume 17, Issue 1, Pages -
Publisher
Springer Nature
Online
2016-09-22
DOI
10.1186/s12859-016-1240-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Quantification and Classification of E. coli Proteome Utilization and Unused Protein Costs across Environments
- (2016) Edward J. O’Brien et al. PLoS Computational Biology
- Genome-scale strain designs based on regulatory minimal cut sets
- (2015) Radhakrishnan Mahadevan et al. BIOINFORMATICS
- An algorithm for the reduction of genome-scale metabolic network models to meaningful core models
- (2015) Philipp Erdrich et al. BMC Systems Biology
- Using Genome-scale Models to Predict Biological Capabilities
- (2015) Edward J. O’Brien et al. CELL
- Next-generation genome-scale models for metabolic engineering
- (2015) Zachary A King et al. CURRENT OPINION IN BIOTECHNOLOGY
- Computing the functional proteome: recent progress and future prospects for genome-scale models
- (2015) Edward J O’Brien et al. CURRENT OPINION IN BIOTECHNOLOGY
- Engineering of oleaginous organisms for lipid production
- (2015) Jennifer Levering et al. CURRENT OPINION IN BIOTECHNOLOGY
- Characterizing metabolic pathway diversification in the context of perturbation size
- (2015) Laurence Yang et al. METABOLIC ENGINEERING
- On the feasibility of growth-coupled product synthesis in microbial strains
- (2015) Steffen Klamt et al. METABOLIC ENGINEERING
- Multi-scale exploration of the technical, economic, and environmental dimensions of bio-based chemical production
- (2015) Kai H. Zhuang et al. METABOLIC ENGINEERING
- Systems biology definition of the core proteome of metabolism and expression is consistent with high-throughput data
- (2015) Laurence Yang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Reconstruction and modeling protein translocation and compartmentalization in Escherichia coli at the genome-scale
- (2014) Joanne K Liu et al. BMC Systems Biology
- Predicting microbial growth
- (2014) J. Monk et al. SCIENCE
- Robust flux balance analysis of multiscale biochemical reaction networks
- (2013) Yuekai Sun et al. BMC BIOINFORMATICS
- COBRApy: COnstraints-Based Reconstruction and Analysis for Python
- (2013) Ali Ebrahim et al. BMC Systems Biology
- Genome-scale metabolic reconstructions of multiple Escherichia coli strains highlight strain-specific adaptations to nutritional environments
- (2013) J. M. Monk et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Multiscale Modeling of Metabolism and Macromolecular Synthesis in E. coli and Its Application to the Evolution of Codon Usage
- (2012) Ines Thiele et al. PLoS One
- In silico method for modelling metabolism and gene product expression at genome scale
- (2012) Joshua A. Lerman et al. Nature Communications
- EMILiO: A fast algorithm for genome-scale strain design
- (2011) Laurence Yang et al. METABOLIC ENGINEERING
- Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0
- (2011) Jan Schellenberger et al. Nature Protocols
- Computationally efficient flux variability analysis
- (2010) Steinn Gudmundsson et al. BMC BIOINFORMATICS
- What is flux balance analysis?
- (2010) Jeffrey D Orth et al. NATURE BIOTECHNOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started