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The revisited genome of Pseudomonas putida KT2440 enlightens its value as a robust metabolic chassis

Environmental microbiology, 2016-10, Vol.18 (10), p.3403-3424

2016

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Nucleophilicity of cysteine and related biothiols and the development of fluorogenic probes and other applications

Organic & biomolecular chemistry, 2020-12, Vol.18 (46), p.9398-9427

2020

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Genome-Scale Metabolic Network Analysis of the Opportunistic Pathogen Pseudomonas aeruginosa PAO1

Journal of Bacteriology, 2008-04, Vol.190 (8), p.2790-2803

2008

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Manganese in human parenteral nutrition: Considerations for toxicity and biomonitoring

Neurotoxicology (Park Forest South), 2014-07, Vol.43, p.36-45

2014

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Tailoring and optimizing fatty acid production by oleaginous yeasts through the systematic exploration of their physiological fitness

Microbial cell factories, 2022-11, Vol.21 (1), p.1-228, Article 228

2022

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Neochloris oleoabundans is worth its salt: Transcriptomic analysis under salt and nitrogen stress

PloS one, 2018-04, Vol.13 (4), p.e0194834-e0194834

2018

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Genome-scale reconstruction and analysis of the Pseudomonas putida KT2440 metabolic network facilitates applications in biotechnology

PLoS computational biology, 2008-10, Vol.4 (10), p.e1000210

2008

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Identification of a Novel L-rhamnose Uptake Transporter in the Filamentous Fungus Aspergillus niger

PLoS genetics, 2016-12, Vol.12 (12), p.e1006468-e1006468

2016

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Phenotype and multi-omics comparison of Staphylococcus and Streptococcus uncovers pathogenic traits and predicts zoonotic potential

BMC genomics, 2021-02, Vol.22 (1), p.102-21, Article 102

2021

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Identification and functional characterization of novel xylose transporters from the cell factories Aspergillus niger and Trichoderma reesei

Biotechnology for biofuels, 2016-07, Vol.9 (1), Article 148

2016

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Exploring the associations between transcript levels and fluxes in constraint-based models of metabolism

BMC bioinformatics, 2021-11, Vol.22 (1), p.1-574, Article 574

2021

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The metabolic response of P. putida KT2442 producing high levels of polyhydroxyalkanoate under single- and multiple-nutrient-limited growth: highlights from a multi-level omics approach

Microbial cell factories, 2012-03, Vol.11 (1), p.34-34

2012

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Harnessing the power of microbial autotrophy

Nature reviews. Microbiology, 2016-11, Vol.14 (11), p.692-706

2016

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From correlation to causation: analysis of metabolomics data using systems biology approaches

Metabolomics, 2018, Vol.14 (4), p.37-20, Article 37

2018

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Analysis of host-pathogen gene association networks reveals patient-specific response to streptococcal and polymicrobial necrotising soft tissue infections

BMC medicine, 2022-05, Vol.20 (1), p.173-173, Article 173

2022

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More than just a gut feeling: constraint-based genome-scale metabolic models for predicting functions of human intestinal microbes

Microbiome, 2017-07, Vol.5 (1), p.78-78, Article 78

2017

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High-level integration of murine intestinal transcriptomics data highlights the importance of the complement system in mucosal homeostasis

BMC genomics, 2019-12, Vol.20 (1), p.1028-1028, Article 1028

2019

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SyNDI: synchronous network data integration framework

BMC bioinformatics, 2018-11, Vol.19 (1), p.403-403, Article 403

2018

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DMPy: a Python package for automated mathematical model construction of large-scale metabolic systems

BMC systems biology, 2018-06, Vol.12 (1), p.72-72, Article 72

2018

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Understanding the antimicrobial mechanism of TiO2-based nanocomposite films in a pathogenic bacterium

Scientific reports, 2014-02, Vol.4 (1), p.4134, Article 4134

2014

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Efficient Reconstruction of Predictive Consensus Metabolic Network Models

PLoS computational biology, 2016-08, Vol.12 (8), p.e1005085-e1005085

2016

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D-Lactic Acid Production from Sugarcane Bagasse by Genetically Engineered Saccharomyces cerevisiae

Journal of fungi (Basel), 2022-08, Vol.8 (8), p.816

2022

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Aspergillus niger membrane-associated proteome analysis for the identification of glucose transporters

Biotechnology for biofuels, 2015-09, Vol.8 (1), Article 150

2015

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Lead, Arsenic, and Manganese Metal Mixture Exposures: Focus on Biomarkers of Effect

Biological trace element research, 2015-07, Vol.166 (1), p.13-23

2015

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The revisited genome of Pseudomonas putida KT2440 enlightens its value as a robust metabolic chassis

Nucleophilicity of cysteine and related biothiols and the development of fluorogenic probes and other applications

Genome-Scale Metabolic Network Analysis of the Opportunistic Pathogen Pseudomonas aeruginosa PAO1

Manganese in human parenteral nutrition: Considerations for toxicity and biomonitoring

Tailoring and optimizing fatty acid production by oleaginous yeasts through the systematic exploration of their physiological fitness

Neochloris oleoabundans is worth its salt: Transcriptomic analysis under salt and nitrogen stress

Genome sequence of the ubiquitous hydrocarbon-degrading marine bacterium Alcanivorax borkumensis

Genome-scale reconstruction and analysis of the Pseudomonas putida KT2440 metabolic network facilitates applications in biotechnology

Identification of a Novel L-rhamnose Uptake Transporter in the Filamentous Fungus Aspergillus niger

Phenotype and multi-omics comparison of Staphylococcus and Streptococcus uncovers pathogenic traits and predicts zoonotic potential

Identification and functional characterization of novel xylose transporters from the cell factories Aspergillus niger and Trichoderma reesei

Exploring the associations between transcript levels and fluxes in constraint-based models of metabolism

The metabolic response of P. putida KT2442 producing high levels of polyhydroxyalkanoate under single- and multiple-nutrient-limited growth: highlights from a multi-level omics approach

Harnessing the power of microbial autotrophy

From correlation to causation: analysis of metabolomics data using systems biology approaches

Analysis of host-pathogen gene association networks reveals patient-specific response to streptococcal and polymicrobial necrotising soft tissue infections

More than just a gut feeling: constraint-based genome-scale metabolic models for predicting functions of human intestinal microbes

High-level integration of murine intestinal transcriptomics data highlights the importance of the complement system in mucosal homeostasis

SyNDI: synchronous network data integration framework

DMPy: a Python package for automated mathematical model construction of large-scale metabolic systems

Understanding the antimicrobial mechanism of TiO2-based nanocomposite films in a pathogenic bacterium

Efficient Reconstruction of Predictive Consensus Metabolic Network Models

D-Lactic Acid Production from Sugarcane Bagasse by Genetically Engineered Saccharomyces cerevisiae

Aspergillus niger membrane-associated proteome analysis for the identification of glucose transporters

Lead, Arsenic, and Manganese Metal Mixture Exposures: Focus on Biomarkers of Effect

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