Principles of proteome allocation are revealed using proteomic data and genome-scale models
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Principles of proteome allocation are revealed using proteomic data and genome-scale models
Authors
Keywords
-
Journal
Scientific Reports
Volume 6, Issue 1, Pages -
Publisher
Springer Nature
Online
2016-11-18
DOI
10.1038/srep36734
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- solveME: fast and reliable solution of nonlinear ME models
- (2016) Laurence Yang et al. BMC BIOINFORMATICS
- Quantification and Classification of E. coli Proteome Utilization and Unused Protein Costs across Environments
- (2016) Edward J. O’Brien et al. PLoS Computational Biology
- Global Rebalancing of Cellular Resources by Pleiotropic Point Mutations Illustrates a Multi-scale Mechanism of Adaptive Evolution
- (2016) Jose Utrilla et al. Cell Systems
- A Comparison of the Costs and Benefits of Bacterial Gene Expression
- (2016) Morgan N. Price et al. PLoS One
- Transcriptomics-based strain optimization tool for designing secondary metabolite overproducing strains ofStreptomyces coelicolor
- (2015) Minsuk Kim et al. BIOTECHNOLOGY AND BIOENGINEERING
- Computing the functional proteome: recent progress and future prospects for genome-scale models
- (2015) Edward J O’Brien et al. CURRENT OPINION IN BIOTECHNOLOGY
- Quantitative proteomic analysis reveals a simple strategy of global resource allocation in bacteria
- (2015) S. Hui et al. Molecular Systems Biology
- The quantitative and condition-dependent Escherichia coli proteome
- (2015) Alexander Schmidt et al. NATURE BIOTECHNOLOGY
- Decoding genome-wide GadEWX-transcriptional regulatory networks reveals multifaceted cellular responses to acid stress in Escherichia coli
- (2015) Sang Woo Seo et al. Nature Communications
- Genome-wide Reconstruction of OxyR and SoxRS Transcriptional Regulatory Networks under Oxidative Stress in Escherichia coli K-12 MG1655
- (2015) Sang Woo Seo et al. Cell Reports
- Pseudo-transition Analysis Identifies the Key Regulators of Dynamic Metabolic Adaptations from Steady-State Data
- (2015) Luca Gerosa et al. Cell Systems
- Use of Adaptive Laboratory Evolution To Discover Key Mutations Enabling Rapid Growth of Escherichia coli K-12 MG1655 on Glucose Minimal Medium
- (2014) Ryan A. LaCroix et al. APPLIED AND ENVIRONMENTAL MICROBIOLOGY
- Hierarchy of non-glucose sugars in Escherichia coli
- (2014) Guy Aidelberg et al. BMC Systems Biology
- Reconstruction and modeling protein translocation and compartmentalization in Escherichia coli at the genome-scale
- (2014) Joanne K Liu et al. BMC Systems Biology
- Bacterial growth: global effects on gene expression, growth feedback and proteome partition
- (2014) Stefan Klumpp et al. CURRENT OPINION IN BIOTECHNOLOGY
- Optimizing genome-scale network reconstructions
- (2014) Jonathan Monk et al. NATURE BIOTECHNOLOGY
- Expanded microbial genome coverage and improved protein family annotation in the COG database
- (2014) Michael Y. Galperin et al. NUCLEIC ACIDS RESEARCH
- Deciphering Fur transcriptional regulatory network highlights its complex role beyond iron metabolism in Escherichia coli
- (2014) Sang Woo Seo et al. Nature Communications
- Systematic Evaluation of Methods for Integration of Transcriptomic Data into Constraint-Based Models of Metabolism
- (2014) Daniel Machado et al. PLoS Computational Biology
- Methods for integration of transcriptomic data in genome-scale metabolic models
- (2014) Min Kyung Kim et al. Computational and Structural Biotechnology Journal
- Robust flux balance analysis of multiscale biochemical reaction networks
- (2013) Yuekai Sun et al. BMC BIOINFORMATICS
- Current knowledge of the Escherichia coli phosphoenolpyruvate–carbohydrate phosphotransferase system: peculiarities of regulation and impact on growth and product formation
- (2012) Adelfo Escalante et al. APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
- 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
- Shrinking the Metabolic Solution Space Using Experimental Datasets
- (2012) Jennifer L. Reed PLoS Computational Biology
- Large-scale 13C-flux analysis reveals distinct transcriptional control of respiratory and fermentative metabolism in Escherichia coli
- (2011) B. R. B. Haverkorn van Rijsewijk et al. Molecular Systems Biology
- Metabolic engineering of Escherichia coli for direct production of 1,4-butanediol
- (2011) Harry Yim et al. Nature Chemical Biology
- Condition-Dependent Cell Volume and Concentration of Escherichia coli to Facilitate Data Conversion for Systems Biology Modeling
- (2011) Benjamin Volkmer et al. PLoS One
- Network-based prediction of human tissue-specific metabolism
- (2008) Tomer Shlomi et al. NATURE BIOTECHNOLOGY
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started