Manchester Centre for Integrative Systems Biology, University of Manchester

ISBE-Light provides M4 service (Make Me My Mode) where non modelers can request (assistance with) the making of a computational model of their biological system. These models are deposited here.

FAIRDOM is establishing a support and service network for European Systems Biology. FAIRDOM is a joint action of ERA-Net ERASysAPP and European Research Infrastructure ISBE to establish a data and model management service facility for Systems Biology. Our prime mission is to support researchers, students, trainers, funders and publishers by enabling Systems Biology projects to make their Data, Operating procedures and Models, Findable, Accessible, Interoperable and Reusable (FAIR).

National Institute of Biology, Department of Biotechnology and Systems Biology projects

This programme is used to store published data files that are not available in other FAIRDOM projects. We specifically store information for journals that we collaborate with for technical curation of mathematical models. These files are used in COMBINE archives to reproduce journal figures.

Projects that do not fall under current programmes.

SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".

The goal pursued by SysMO was to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.

Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...

e:Bio - Innovations Competition Systems Biology

Collection of training material for SEEK/FAIRDOMHub

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 ...

Using standard systems biology methodologies a 14-compartment dynamic model was developed for the Corona virus epidemic. The model predicts that: (i) it will be impossible to limit lockdown intensity such that sufficient herd immunity develops for this epidemic to die down, (ii) the death toll from the SARS-CoV-2 virus decreases very strongly with increasing intensity of the lockdown, but (iii) the duration of the epidemic increases at first with that intensity and then decreases again, such that ...

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 ...

The Molecular Systems Biology project holds information for reproducing simulation figures in the journal. This can include experimental data files, model files and manuscript information.

project: _p_stRT Short Name: stRT Title: Solanum tuberosum Reference Transcriptomes Description: Cultivar-specific transcriptome and pan-transcriptome reconstruction of tetraploid potato pISA projects path: ../pISA-Projects Local pISA-tree organisation: National Institute of Biology pISA project creation date: 2019-10-22 pISA project creator: Maja Zagorscak, Ziva Ramsak, Marko Petek Project funding code: This project was supported by the Slovenian Research Agency (grants P4-0165, J4-4165, J4-7636, ...

Silicon cell model for the central carbohydrate metabolism of the archaeon Sulfolobus solfataricus under temperature variation

The main objectives of SysMO-DB are to: facilitate the web-based exchange of data between research groups within- and inter- consortia, and to provide an integrated platform for the dissemination of the results of the SysMO projects to the scientific community. We aim to devise a progressive and scalable solution to the data management needs of the SysMO initiative, that:

• facilitates and maximises the potential for data exchange between SysMO research groups;
• maximises the ‘shelf life’ and ...

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) ...

Comparative Systems Biology: Lactic Acid Bacteria

BaCell-SysMO 2 Modelling carbon core metabolism in Bacillus subtilis – Exploring the contribution of protein complexes in core carbon and nitrogen metabolism.

Bacillus subtilis is a prime model organism for systems biology approaches because it is one of the most advanced models for functional genomics. Furthermore, comprehensive information on cell and molecular biology, physiology and genetics is available and the European Bacillus community (BACELL) has a well-established reputation for applying ...

Systems analysis of process-induced stresses: towards a quantum increase in process performance of Pseudomonas putida as the cell factory of choice for white biotechnology.

The specific goal of this project is to exploit the full biotechnological efficacy of Pseudomonas putida KT2440 by developing new optimization strategies that increase its performance through a systems biology understanding of key metabolic and regulatory parameters that control callular responses to key stresses generated ...

Systems Biology of a genetically engineered Pseudomonas fluorescens with inducible exo-polysaccharide production: analysis of the dynamics and robustness of metabolic networks

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.