Related references
Note: Only part of the references are listed.Yeast increases glycolytic flux to support higher growth rates accompanied by decreased metabolite regulation and lower protein phosphorylation
Min Chen et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2023)
Model-driven insights into the effects of temperature on metabolism
Philipp Wendering et al.
BIOTECHNOLOGY ADVANCES (2023)
Unraveling antimicrobial resistance using metabolomics
Maik Kok et al.
DRUG DISCOVERY TODAY (2022)
Reconstruction of a catalogue of genome-scale metabolic models with enzymatic constraints using GECKO 2.0
Ivan Domenzain et al.
NATURE COMMUNICATIONS (2022)
Whole-Genome Assessment of Clinical Acinetobacter baumannii Isolates Uncovers Potentially Novel Factors Influencing Carbapenem Resistance
Kiran Javkar et al.
FRONTIERS IN MICROBIOLOGY (2021)
Protein Abundance Prediction Through Machine Learning Methods
Mauricio Ferreira et al.
JOURNAL OF MOLECULAR BIOLOGY (2021)
In vitro turnover numbers do not reflect in vivo activities of yeast enzymes
Yu Chen et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2021)
Automatic construction of metabolic models with enzyme constraints
Pavlos Stephanos Bekiaris et al.
BMC BIOINFORMATICS (2020)
Absolute yeast mitochondrial proteome quantification reveals trade-off between biosynthesis and energy generation during diauxic shift
Francesca Di Bartolomeo et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2020)
Assessment of ethanol tolerance ofKluyveromyces marxianusCCT 7735 selected by adaptive laboratory evolution
Fernando Augusto da Silveira et al.
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY (2020)
Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0
Laurent Heirendt et al.
NATURE PROTOCOLS (2019)
Ethanol stress responses of Kluyveromyces marxianus CCT 7735 revealed by proteomic and metabolomic analyses
Mariana Caroline Tocantins Alvim et al.
ANTONIE VAN LEEUWENHOEK INTERNATIONAL JOURNAL OF GENERAL AND MOLECULAR MICROBIOLOGY (2019)
Standardization approaches in absolute quantitative proteomics with mass spectrometry
Francisco Calderon-Celis et al.
MASS SPECTROMETRY REVIEWS (2018)
Evolutionary Convergence of Pathway-Specific Enzyme Expression Stoichiometry
Jean-Benoit Lalanne et al.
CELL (2018)
Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models
David Heckmann et al.
NATURE COMMUNICATIONS (2018)
Mass spectrometry-based proteomics techniques and their application in ovarian cancer research
Agata Swiatly et al.
JOURNAL OF OVARIAN RESEARCH (2018)
Improving the phenotype predictions of a yeast genome-scale metabolic model by incorporating enzymatic constraints
Benjamin J. Sanchez et al.
MOLECULAR SYSTEMS BIOLOGY (2017)
Quantifying the benefit of a proteome reserve in fluctuating environments
Matteo Mori et al.
NATURE COMMUNICATIONS (2017)
Ethanol Effects Involve Non - canonical Unfolded Protein Response Activation in Yeast Cells
Elisabet Navarro-Tapia et al.
FRONTIERS IN MICROBIOLOGY (2017)
Absolute Quantification of Protein and mRNA Abundances Demonstrate Variability in Gene-Specific Translation Efficiency in Yeast
Petri-Jaan Lahtvee et al.
CELL SYSTEMS (2017)
Engineering tolerance to industrially relevant stress factors in yeast cell factories
Quinten Deparis et al.
FEMS YEAST RESEARCH (2017)
Klebsiella pneumoniae: a major worldwide source and shuttle for antibiotic resistance
Shiri Navon-Venezia et al.
FEMS MICROBIOLOGY REVIEWS (2017)
Strategies in relative and absolute quantitative mass spectrometry based proteomics
Claudia Lindemann et al.
BIOLOGICAL CHEMISTRY (2017)
The quantitative and condition-dependent Escherichia coli proteome
Alexander Schmidt et al.
NATURE BIOTECHNOLOGY (2016)
The relative importance of kinetic mechanisms and variable enzyme abundances for the regulation of hepatic glucose metabolism - insights from mathematical modeling
Sascha Bulik et al.
BMC BIOLOGY (2016)
Global characterization of in vivo enzyme catalytic rates and their correspondence to in vitro kcat measurements
Dan Davidi et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)
Quantification and Classification of E-coli Proteome Utilization and Unused Protein Costs across Environments
Edward J. O'Brien et al.
PLOS COMPUTATIONAL BIOLOGY (2016)
Quantitative prediction of genome-wide resource allocation in bacteria
Anne Goelzer et al.
METABOLIC ENGINEERING (2015)
Quantitative nature of overexpression experiments
Hisao Moriya
MOLECULAR BIOLOGY OF THE CELL (2015)
Proteome reallocation in Escherichia coli with increasing specific growth rate
Karl Peebo et al.
MOLECULAR BIOSYSTEMS (2015)
Overflow metabolism in Escherichia coli results from efficient proteome allocation
Markus Basan et al.
NATURE (2015)
Quantitative proteomics in the field of microbiology
Andreas Otto et al.
PROTEOMICS (2014)
Escherichia coli achieves faster growth by increasing catalytic and translation rates of proteins
Kaspar Valgepea et al.
MOLECULAR BIOSYSTEMS (2013)
Prediction of Microbial Growth Rate versus Biomass Yield by a Metabolic Network with Kinetic Parameters
Roi Adadi et al.
PLOS COMPUTATIONAL BIOLOGY (2012)
A quantitative estimation of the global translational activity in logarithmically growing yeast cells
Tobias von der Haar
BMC SYSTEMS BIOLOGY (2008)
Intracellular crowding defines the mode and sequence of substrate uptake by Escherichia coli and constrains its metabolic activity
Q. K. Beg et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2007)
Genome-scale microbial in silico models:: the constraints-based approach
ND Price et al.
TRENDS IN BIOTECHNOLOGY (2003)
Analysis of optimality in natural and perturbed metabolic networks
D Segrè et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2002)
Share Paper
