Projects: COMBINE Multicellular Modelling
Institutions: Indiana University Bloomingtonhttps://orcid.org/0000-0003-3634-190X
Expertise: Computational Biology, Mathematical modelling, Multicellular Modelling, Compucell3D, Virtual Tissues, Model Sharing, Language Standards, Agent-based modelling, Dynamic modelling, Computational Systems Biology, standards, Developmental Biology, Toxicology, Framework Development, Cancer, Immunology, Community Building
Dr. Glazier’s research focuses on early embryonic development, developmental and chronic toxicity and disease, with more than 100 experimental and computational papers on biological development and developmental diseases (including polycystic kidney disease (ADPKD), tumor growth and vascularization, Age Related Macular Degeneration and diabetic retinopathies, somitogenesis and liver toxicity) and more recently on modeling in-host viral infection and immune response. As part of his work on infection ...
Rahuman Sheriff is a Senior Project Leader (BioModels) at the European Bioinformatics Institute, European Molecular Biology Laboratory (EMBL-EBI), Hinxton, Cambridge, UK. He interests include mathematical modelling, development of novel tools and resources for building models, immune digital twin, quantitative imaging, single cell systems biology and chemoinformatics. He is one of the editors of Systems Biology Markup Language (SBML).
Institutions: Universitat Politècnica de Valènciahttps://orcid.org/0000-0003-4144-3521
Jesús Picó is Full Professor of Automatic Control at The Department of Systems Engineering and Control of the Universitat Politècnica de València (UPV). In 2013 he created the Laboratory of Synthetic Biology and Biosystems Control (SB2CLab) of the Institute of Automation and Industrial Informatics (ai2) at the UPV, the first multidisciplinary lab in Spain integrating systems and control engineers, bioinformatics and biotechnologists. His research interests are in the application of systems ...
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-mitophagy, Stochastics and burstinghttps://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.
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 ...