Projects: Not specified
Institutions: Not specifiedhttps://orcid.org/0000-0002-4245-0320
Julio is the leader of the Computational Biology Lab at MBG-CSIC (Pontevedra, Spain), an institute of CSIC (Spanish National Research Council). More info at https://www.bangalab.org
Our research is focused in computational systems and synthetic biology.
We use mathematical modelling, simulation and optimization to understand complex biological systems and processes.
Current research topics include:
Reverse engineering: systems identification (dynamic modelling) of biological networks
Institutions: University of Stuttgarthttps://orcid.org/0000-0002-5300-0915
Currently I focuse on the integration of data into multi-scale models with statistical methods and uncertainty tracking in the research unit QuaLiPerF.
Projects: SysMO-LAB, MOSES, PSYSMO, SulfoSys, SulfoSys - Biotec, EraCoBiotech 2 nd call proposal preparation, Make Me My Model, Mechanism based modeling viral disease ( COVID-19 ) dynamics in human population, Modelling COVID-19 epidemics, SNAPPER: Synergistic Neurotoxicology APP for Environmental Regulation, Xenophiles Systems Biology, Thermodynamics, Non equilibrium thermodynamics, Book on Thermodynamics, and kinetics, Teaching Alien Biology, Outdated material, Fusion-fission-mitophagyhttps://orcid.org/0000-0002-0443-6114
Systems Biologist at University of Amsterdam, Free University Amsterdam, University of Manchester, Infrastructure Systems Biology.NL (ISBE.NL), Systems Biology Amsterdam.
Projects: COVID-19 Disease Map
Institutions: University of Surreyhttps://orcid.org/0000-0001-5640-7422
Reader (Professor) of Systems Biology; Executive Director for the International Society of Systems Biology (ISSB); Editor-in-Chief of Current Opinion in Systems Biology (Elsevier).
Institutions: University of Stellenboschhttps://orcid.org/0000-0001-6288-8904
Institutions: ZB MED - Information Centre for Life Scienceshttps://orcid.org/0000-0001-5246-9351
Projects: COVID-19 Disease Map
Institutions: University of Tübingenhttps://orcid.org/0000-0002-1240-5553
Expertise: Systems Biology, Computational Systems Biology, Databases, Dynamic modelling, Java, Mathematical modelling, Metabolic Engineering, Disease Maps, Curation, Modeling, Data Integration, Constraint-based Modelling, Parameter estimation
Andreas Dräger is the assistant professor for Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens at the University of Tübingen in Germany. His group aims to combat the spreading antibiotics resistances by using mathematical modeling and computer simulation of bacterial systems up to entire microbiomes and host-pathogen interactions. In doing so, his group actively contributes to the advancement of various COMBINE standards.
Tools: Biochemistry and protein analysis, Bioinformatics, Systems Biology, SBML, R, ODE, Molecular biology techniques (RNA/DNA/Protein), Genetics, Dynamic modelling, Computational and theoretical biology, CellDesigner, Parameter estimation
Institutions: University of Groningen
I work as a project manager for the Innovative Training Network PoLiMeR - Polymers in the LIver: Metabolism and Regulation funded by the EU. In addition I am a project manager for the UMCG Research BV where I support scientist in the pre-award phase with writing their proposals and in the post-award phase with managing their awarded projects.
Projects: pISA-tree, HYp - Spatiotemporal analysis of hypersensitive response to Potato virus Y in potato, INDIE - Biotechnological production of sustainable indole, _p_stRT, ADAPT - Accelerated Development of multiple-stress tolerAnt PoTato, tst, tst2https://orcid.org/0000-0002-1669-6482
Expertise: Molecular Biology, Statistics, Bioinformatics, Mathematical and statistical modeling, Programming, Data analysisMathematical modellingBioinformaticsSystems biology, Data Management, Data analysis, Visualization, Data Integration, Computational Biology
Tools: Bioinformatics, Computational and theoretical biology, Computational Systems Biology, Data Management, Databases, Dynamic modelling, Molecular Biology, Python, R, Systems Biology, Data Integration
Computational Biologist and Biostatistician at Department of Biotechnology and Systems Biology, National Institute of Biology (NIB)
Institutions: Institut Pasteurhttps://orcid.org/0000-0001-6286-1138
Institutions: National Institute of Biologyhttps://orcid.org/0000-0003-0913-2715
Projects: COMBINE Multicellular Modellinghttps://orcid.org/0000-0002-7692-7203
Institutions: Wageningen University & Researchhttps://orcid.org/0000-0001-7049-5334
I am a researcher (PhD student) working at Wageningen University & Research as bioinformatician and modeller. I am working as part of the MycoSynVac (http://www.mycosynvac.eu/) project on dynamic modelling of central carbon metabolism in M. pneumoniae, to be extended to full dynamic modelling of metabolism to be implemented in a whole cell model. I am also looking into possibilities to improve standards in model generation using semantic technologies, improving automatic generation, annotation ...
Tools: Bioinformatics, Computational and theoretical biology, Computational Systems Biology, Data Management, Databases, Dynamic modelling, Genetics, Genomics, R, Systems Biology, Transcriptomics, Java
My scientific interests revolve around functional genomics, systems biology and the development of algorithms and software for the analysis of high-throughput data (mainly, but not restricted to, Next Generation Sequencing) and its application to the relationship between genotype and phenotype, mainly oriented to personalized and precision medicine. I am especially interested in the study of disease mechanisms and drug action mechanisms, drug repositioning and the definition of mechanism-based ...
Institutions: Imperial College London
I am a PhD student in the Theoretical Systems Biology group, based at Imperial College London. The aim of my PhD is to understand how noise can be the driving force of decision-making processes (differentiation, self-renewal, apoptosis or tumorgenesis), and what are our chances to control them. So far I have been working on method development for stochastic models, a moment closure framework and a stochastic reachability method, to look into cell-to-cell-variability.
Expertise: Mathematical modelling of biosystems and bioprocesses, Optimal experimental design, Systems Biology, sensitivity analysis, Dynamic optimization., Dynamics and Control of Biological Networks, Parameter estimation
I am a postdoctoral researcher in the group of Julio Banga. My research is focused on computational systems biology with particular attention to the mathematical modelling of biosystems and bioprocesses. Some of the topics we address are:
- Parameter estimation
- Model identifiability
- Global sensitivity analysis
- Optimal experimental design
- Dynamic optimization
- Robust control of diffusion-reaction systems
Expertise: Mathematical modelling, Bacillus subtilis, Deterministic modelling of gene regulation networks, stress responses, Systems Biology, sensitivity analysis, Dynamics and Control of Biological Networks, Parameter estimation
Modelling of the general stress response activation cascade of sigB in B. subtilis in response to starvation.
Institutions: Beuth University of Applied Sciences Berlinhttps://orcid.org/0000-0001-6096-1354
Roles: Project Coordinator
Expertise: Mathematical modelling, Data Management, coupling metabolome and environome, rapid sampling experiments, dynamics of biological networks, bioreactor models, Optimal experimental design, Dynamic optimization., Nonlinear Dynamics, Data Integration, Parameter estimation
Process engineer, modeling biological systems since 1985.
From 2005 to 2008 I was group leader at the Institute for System Dynamics at the University of Stuttgart. Since 2008 I am now Professor of Systems Biology at the University of Luxembourg.
The research of the Systems Biology Group at the University of Luxembourg is focussed in the area of experimental and theoretical systems biology. We are applying different modelling techniques (mainly ODE and logical) to biological systems to develop suitable computational models. The analysis of these models ...
Tools: Computational and theoretical biology, ODE, Matlab, Mathematica, differential algebraic equations, Stochastic models, C programming, Computational Systems Biology, Dynamic modelling, Data Modelling
Modelling of cellular signalling, Dynamic Motifs and Feedback, Quantitative Measures, Theoretical Aspects of Modelling Biological Systems
Expertise: Microbiology, Biochemistry, Mathematical modelling, Bacillus subtilis, Mathematical modelling of biosystems and bioprocesses, stress responses, Systems Biology, Nonlinear Dynamics, carbon metabolism, Signalling networks, Metabolic Networks
Tools: Computational and theoretical biology, ODE, Matlab, Mathematica, Fermentation, Chromatography, continuous cultivation, Enzyme assay, Computational Systems Biology, Deterministic models, Dynamic modelling, fed-batch cultivation
I am a biologist in the lab of Prof. Reuss at the University of Stuttgart and I am working in the field of biotechnology and mathematical modelling.
Tools: Fermentation, stimulus response experiments, evaluation of process dynamics, continuous cultivation, Computational Systems Biology, including:- Dynamic modelling- Parameter estimation- Optimal experimental design- Dynamic optimization, Dynamic modelling, In silico Metabolic Network Analysis, fed-batch cultivation
Professor for Biochemcial Engineering, University Stuttgart
Expertise: Molecular Biology, Bacillus subtilis, functional protein expression, protein-protein interactions, microscopy, Bacterial Cell Biology, carbon catabolite regulation in Gram positive bacteria
Tools: Chromatography, Fluorescence and confocal microscopy, Protein chemical methods (protein overproduction, quantitative western blot analysis, Dynamic modelling, 2-D Gel Electrphoresis, Immunofluorescence, Cell culture, Western blot analyses, interaction analysis techniques especially SPR measurements
I am working on a kinetic model of the central metabolism as well as on a genome wide model of Streptococcus pyogenes.
With a background in the statistical mechanics of disordered systems, my research focusses on the interface between statistical physics and molecular biology. At the centre is the relationship between fluctuations and noise in biological systems, the corresponding statistical ensembles, and biological function. This connection emerges at very different levels and timescales, from stochastic modeling of gene expression to the population dynamics of regulatory DNA.