Web page: http://www.falw.vu.nl/en/index.asp
VU University Amsterdam
De Boelelaan 1087, NL-1081 HV Amsterdam
Projects: SulfoSys, FAIRDOM user meeting, Service to Milano-Bicocca with respect to their ATP-ROS model (Active NOW), Make Me My Model, Service to University of Lisbon (Portugal) with respect to their CFTR maturation model (Active NOW), Service to LCSB (Luxembourg) with respect to ROS management in Parkinson’s disease and cancer model (Active NOW), Service to URV Tarragona, Spain with respect to their Safety Assessment of Endocrine Disrupting Chemicals model (Active NOW), Service to Universidade Católica Portugues with respect to their Molecular Insight into Autism Spectrum Disorder (ASD) model (Active NOW), Service to Slovenia with respect to their Protease signaling network in neurodegeneration model (Active NOW), Service to University of Duisburg- Essen (Germany): with respect to their The Yin-Yang of Metabolism; Endometatoxicity (YYME) model (Active NOW), Service to Sheffield University (UK): with respect to Mitochondrial perfect adaptation model (Active NOW), Service to Sanquin (Amsterdam): with respect to Modelling of acute and chronic inflammation (Prospective), Service to Munich (Germany): with respect toCharged peptide to charged membrane binding model (Prospective), Training Hunfeld, EraCoBiotech 2 nd call proposal preparation, ROS detailed model for MSB manucript, Mechanism based modeling viral disease ( COVID-19 ) dynamics in human population, COVID-19 Disease Map, Modelling COVID-19 epidemics, SNAPPER: Synergistic Neurotoxicology APP for Environmental Regulation
Roles: Project Coordinator
I have modelling expertise in precise kinetic models of metabolism and signal transduction; metabolic control analysis, hierarchical regulation analysis, non-equilibrium dynamics, statistical mechanics, enzyme kinetics, flux balance analysis. Energy and carbohydrate metabolism in Archaea, Bacteria and human; ammonium assimilation in Bacteria; differential network-based drug design; cancer metabolic rewiring; cell cycle; genome wide metabolic map and inborn errors of metabolism; epigenetics.
Institutions: VU University Amsterdam
I am a beginning PhD student at the VU in Amsterdam and study the heterogeneity of yeast cells at near zero growth conditions. I have a versatile background in Biophysics and Systems Biology.
Projects: Service to URV Tarragona, Spain with respect to their Safety Assessment of Endocrine Disrupting Chemicals model (Active NOW), EraCoBiotech 2 nd call proposal preparation, SNAPPER: Synergistic Neurotoxicology APP for Environmental Regulationhttps://orcid.org/0000-0001-9103-9127
Roles: Vice Coordinator
Expertise: Metabolic Pathway Analysis and Engineering Microbial Physiology Modeling of Biological Networks Industrial Systems Biotechnology White Biotech..., genome-scale modeling, enzyme kinetics, Dynamics and Control of Biological Networks
Since August 2008 I am professor in Systems Biology at the VU University Amsterdam. My Systems Bioinformatics group focusses on systems biology with a special focus on integrative bioinformatics. It aims at forming bridges between the classical bottom-up approaches in systems biology and the more data-driven approaches in classical bioinformatics. We combine experimental, modeling and theoretical approaches to study cellular physiology, with an emphasis on metabolic networks.
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 kineticshttps://orcid.org/0000-0002-0443-6114
University of Amsterdam
Free University Amsterdam
University of Manchester
Infrastructure Systems Biology.NL (ISBE.NL)
Chapter on non equilibrium thermodynamics.
The chapter discusses both phenomenological and mechanistic non equilibrium thermodynamics. The phenomenological part has as asset compared to earlier treatments that it also considers the phenomenological stoichiometry as a parameter that may be adjusted by systems to attain optimal performance. In the mechanistic part, this feature of variable stoichiometry and 'slips' as well as redistribution of fluxes over parallel branches of metabolism is discussed.
A chapter on generalized thermodynamics. The chapter is not specifically about biology although it uses many examples in biology due to the richness of the topic. It deals with the first and second law of thermodynamics, catalysts, and engines. This includes heat engines, heat pumps, and protonmotive ATP synthase.
Most systems biology deals with Life as we know it on this planet (Earth). This project will focus on how (nonsynthetic) Life may differ from mainstream Life. The ultimate focus thereby rests on extraterrestrial Life, but for lack of definitive evidence of this, the project studies Life found under conditions that may be similar to extraterrestrial conditions enabling Life.
The focus is herewith on the systems biology in remote environments on Earth. The project deals both with the systems cell
The Integrated Platform for Endocrine Disruptor Risk Assessment (SNAPPER) project will propose solutions based around three core philosophies:
Integrated Science: Integration of knowledge from a complete pipeline of systems biology into a holistic yet mechanistic framework that enhances the understanding both of endocrine biology and of adverse effects due to externally induced disruption of the body’s endocrine system. The pipeline includes in vivo, in vitro, and in silico data resulting both
Programme: This Project is not associated with a Programme
Public web page: Not specified
Good data and model management improves the longevity and impact of your interdisciplinary research. FAIRDOM offers software and expertise to support you in better managing your interdisciplinary life-science projects, particularly in systems and synthetic biology. If you have never heard of data and model management, or are curious about it, or you are an expert keen to exchange ideas, our user meeting is the place for you!
At our users meeting you can:
- Learn why data and model management is
Programme: Test program
Pesticides, plastics, cosmetics, electrical transformers and many other products contain Endocrine disruptors (EDCs). EDCs interfere with natural hormone functions and may cause the disease.
Public web page: Not specified
Microbial strains used in biotechnological industry need to produce their biotechnological products at high yield and at the same time they are desired to be robust to the intrinsic nutrient dynamics of large-scale bioreactors, most noticeably to transient limitations of carbon sources and oxygen. The engineering principles for robustness of metabolism to nutrient dynamics are however not yet well understood. The ROBUSTYEAST project aims to reveal these principles for microbial strain improvement
IMOMESIC - Integrating Modelling of Metabolism and Signalling towards an Application in Liver Cancer
One of the most challenging questions in cancer research is currently the interconnection of metabolism and signalling. An understanding of mechanisms that facilitate the physiological shift towards a proliferative metabolism in cancer cells is considered a major upcoming topic in oncology and is a key activity for future drug development. Due to the complexity of interrelations, a systems biology
Within the e:Bio - Innovationswettbewerb Systembiologie (Federal Ministry of Education and Research (BMBF)), the SulfoSYSBIOTECH consortium (10 partners), aim to unravel the complexity and regulation of the carbon metabolic network of the thermoacidophilic archaeon Sulfolobus solfataricus (optimal growth at 80°C and pH 3) in order to provide new catalysts ‘extremozymes’ for utilization in White Biotechnology.
Based on the available S. solfataricus genome scale metabolic model (Ulas et al., 2012)
Systems Biology studies the properties and phenotypes that emerge from the interaction of biomolecules where such properties are not obvious from those of the individual molecules. By connecting fields such as genomics, proteomics, bioinformatics, mathematics, cell biology, genetics, mathematics, engineering and computer sciences, Systems Biology enables discovery of yet unknown principles underlying the functioning of living cells. At the same time, testable and predictive models of complex
MOSES (Micro Organism Systems biology: Energy and Saccharomyces cerevisiae) develops a new Systems Biology approach, which is called 'domino systems biology'. It uses this to unravel the role of cellular free energy ('ATP') in the control and regulation of cell function. MOSES operates though continuous iterations between partner groups through a new systems-biology driven data-management workflow. MOSES also tries to serve as a substrate for three or more other SYSMO programs.