Web page: http://www.mib.ac.uk/
Country: United Kingdom
Manchester Centre for Integrative Systems Biology, MIB/CEAS, The University of Manchester
Faraday Building, Sackville Street, Manchester M60 1QD
Professor of Computer Science University of Manchester
Co-Director of the FAIRDOM Initiative and co-leader of the SEEK4Science Platform Development
Deputy Head of Node ELIXIR-UK
Co-lead ELIXIR Interoperability Backbone Platform
Lead ISBE WP Data and Model Management
Data lead SynBioChem Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals
I hold a Medical Doctor Diploma (Lviv, Ukraine) with the specialization in General Medicine. After the graduation from the Post Graduate Program in Bioinformatics at the Seneca College/York University (Toronto, Canada), I successfully participated in the number of scientific projects conducted at the University of Toronto (Canada) and the Toronto East General Hospital (Canada).
I obtained the PhD in Bioinformatics at the Swiss Institute of Bioinformatics (Geneva, Switzerland). As a PhD student,
Software Engineer and Architect working within the FAIRDOM team.
Leads the development of SEEK and RightField.
Projects: PSYSMO, MOSES, SysMO DB, SysMO-LAB, SulfoSys, SulfoSys - Biotec, Whole body modelling of glucose metabolism in malaria patients, FAIRDOM, Molecular Systems Biology, COMBINE Multicellular Modelling, HOTSOLUTE, Steroid biosynthesis, Yeast glycolytic oscillations, Computational pathway design for biotechnological applications
Projects: SysMO DB, Whole body modelling of glucose metabolism in malaria patients, Manchester Institute for Biotechnology, FAIRDOM, ICYSB 2015 - International Practical Course in Systems Biology, GenoSysFat, DigiSal, FAIRDOM user meeting, FAIRDOM Templateshttps://orcid.org/0000-0003-4958-0184
Interested in systems + synthetic biology, biotechnology, mountaineering, swimming, running, and the occasional cup of tea. Once diagnosed as an ENFP.
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
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
Organisms: Homo sapiens
In this project we use mechanism based modelling .... (complete later)
Public web page: Not specified
Start date: 1st Mar 2020
End date: 24th Mar 2023
Organisms: Homo sapiens
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,
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)
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
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
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.