An expanded CRISPRi toolbox for tunable control of gene expression in Pseudomonas putida,
Correlation between immunoglobulin dose administered and plasma neutralization of streptococcal superantigens in patients with necrotizing soft tissue infections.
Genetic Safeguards for Safety-by-design: So Close Yet So Far.
Integrated Univariate, Multivariate, and Correlation-Based Network Analyses Reveal Metabolite-Specific.
Cofactors revisited - Predicting the impact of flavoprotein-related diseases on a genome scale.
Macrophage-Specific NF-κB Activation Dynamics Can Segregate Inflammatory Bowel Disease Patients.
Modeling Host-Pathogen Interaction to Elucidate the Metabolic Drug Response of Intracellular Mycobacterium tuberculosis.
Necrotizing Soft Tissue Infection Staphylococcus aureus but not S. pyogenes Isolates Display High Rates of Internalization and Cytotoxicity Toward Human Myoblasts.
Patient's characteristics and outcomes in necrotising soft-tissue infections: results from a Scandinavian, multicentre, prospective cohort study.
Risk-Based Bioengineering Strategies for Reliable Bacterial Vaccine Production.
The Empusa code generator and its application to GBOL, an extendable ontology for genome annotation.
A Constraint-Based Model Analysis of Enterocyte Mitochondrial Adaptation to Dietary Interventions of Lipid Type and Lipid Load.
Diabetes and necrotizing soft tissue infections-A prospective observational cohort study: Statistical analysis plan.
DMPy: a Python package for automated mathematical model construction of large-scale metabolic systems.
From correlation to causation: analysis of metabolomics data using systems biology approaches.
Modeling the Metabolic State of Mycobacterium tuberculosis Upon Infection.
Necrotizing soft tissue infections - a multicentre, prospective observational study (INFECT): protocol and statistical analysis plan.
Neochloris oleoabundans is worth its salt: Transcriptomic analysis under salt and nitrogen stress.
Regulation of Three Virulence Strategies of Mycobacterium tuberculosis: A Success Story.
SAPP: functional genome annotation and analysis through a semantic framework using FAIR principles.
Studying microbial functionality within the gut ecosystem by systems biology.
Aspergillus niger Secretes Citrate to Increase Iron Bioavailability.
Comparative proteomics of Rhizopus delemar ATCC 20344 unravels the role of amino acid catabolism in fumarate accumulation.
Designing synthetic networks in silico: a generalised evolutionary algorithm approach.
Draft Genome Sequence of the Oleaginous Green Alga Tetradesmus obliquus UTEX 393.
Genome-Scale Model and Omics Analysis of Metabolic Capacities of Akkermansia muciniphila Reveal a Preferential Mucin-Degrading Lifestyle.
Genomic and functional analysis of Romboutsia ilealis CRIBT reveals adaptation to the small intestine.
Identification of methylated GnTI-dependent N-glycans in Botryococcus brauni.
Interactions Between phyB and PIF Proteins Alter Thermal Reversion Reactions in vitro.
Metabolic modeling of energy balances in Mycoplasma hyopneumoniae shows that pyruvate addition increases growth rate.
More than just a gut feeling: constraint-based genome-scale metabolic models for predicting functions of human intestinal microbes.
Multi-Level Integration of Environmentally Perturbed Internal Phenotypes Reveals Key Points of Connectivity between Them.
Predicting the murine enterocyte metabolic response to diets that differ in lipid and carbohydrate composition.
Use of Microarray Datasets to generate Caco-2-dedicated Networks and to identify Reporter Genes of Specific Pathway Activity.
Characterizing the optimal flux space of genome-scale metabolic reconstructions through modified latin-hypercube sampling.
Comparison of 432 Pseudomonas strains through integration of genomic, functional, metabolic and expression data.
Efficient Reconstruction of Predictive Consensus Metabolic Network Models.
Harnessing the power of microbial autotrophy.
Identification and functional characterization of novel xylose transporters from the cell factories Aspergillus niger and Trichoderma reesei.
Identification of a Novel L-rhamnose Uptake Transporter in the Filamentous Fungus Aspergillus niger.
Integrated In Silico Analysis of Pathway Designs for Synthetic Photo-Electro-Autotrophy.
Protein domain architectures provide a fast, efficient and scalable alternative to sequence-based methods for comparative functional genomics.
Strategies for structuring interdisciplinary education in Systems Biology: an European perspective.
The Human Physiome: how standards, software and innovative service infrastructures are providing the building blocks to make it achievable.
Unearthing the transition rates between photoreceptor conformers.
Aspergillus niger membrane-associated proteome analysis for the identification of glucose transporters.
Comprehensive insights into transcriptional adaptation of intracellular mycobacteria by microbe-enriched dual RNA sequencing.
Genotypic and phenotypic analyses of a Pseudomonas aeruginosa chronic bronchiectasis isolate reveal differences from cystic fibrosis and laboratory strains.
Network analysis of temporal functionalities of the gut induced by perturbations in new-born piglets.
RDF2Graph a tool to recover, understand and validate the ontology of an RDF resource.
Delineating the effect of host environmental signals on a fully virulent strain of Bacillus anthracis using an integrated transcriptomics and proteomics approach.
Effects of β-lactam antibiotics and fluoroquinolones on human gut microbiota in relation to Clostridium difficile associated diarrhea.
From the environment to the host: re-wiring of the transcriptome of Pseudomonas aeruginosa from 22°C to 37°C.
Green genes: bioinformatics and systems-biology innovations drive algal biotechnology.
Gut microbiota disturbance during antibiotic therapy: a multi-omic approach.
Integration of transcription and flux data reveals molecular paths associated with differences in oxygen-dependent phenotypes of Saccharomyces cerevisiae.
Plant development. Integration of growth and patterning during vascular tissue formation in Arabidopsis.
Systems-level modeling of mycobacterial metabolism for the identification of new (multi-)drug targets.
Understanding the antimicrobial mechanism of TiO₂-based nanocomposite films in a pathogenic bacterium.
"Normung und Standardisierung zum Austausch von Modellen und Daten in der Systembiologischen Forschung“ – NORM-SYS