China & the UK: supercomputing systems biology
Lead Research Organisation:
University of Manchester
Department Name: Chem Eng and Analytical Science
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Publications
He F
(2016)
Synthetic biology and regulatory networks: where metabolic systems biology meets control engineering.
in Journal of the Royal Society, Interface
Maeda K
(2019)
Ranking network mechanisms by how they fit diverse experiments and deciding on E. coli's ammonium transport and assimilation network.
in NPJ systems biology and applications
Murabito E
(2015)
SupraBiology 2014: Promoting UK-China collaboration on Systems Biology and High Performance Computing
in Quantitative Biology
N Kolodkin A
(2020)
ROS networks: designs, aging, Parkinson's disease and precision therapies.
in NPJ systems biology and applications
Sharma RP
(2020)
Development and evaluation of a harmonized whole body physiologically based pharmacokinetic (PBPK) model for flutamide in rats and its extrapolation to humans.
in Environmental research
Snoep JL
(2015)
Quantitative analysis of drug effects at the whole-body level: a case study for glucose metabolism in malaria patients.
in Biochemical Society transactions
Van De Peppel J
(2017)
Identification of Three Early Phases of Cell-Fate Determination during Osteogenic and Adipogenic Differentiation by Transcription Factor Dynamics.
in Stem cell reports
Westerhoff HV
(2014)
Macromolecular networks and intelligence in microorganisms.
in Frontiers in microbiology
Westerhoff HV
(2015)
Systems Pharmacology: An opinion on how to turn the impossible into grand challenges.
in Drug discovery today. Technologies
Description | This project involved collaborations with supercomputer builders and to a lesser extent in Changsha. We have discovered that there is a great distance between computer building and computer intensive systems biology and that in Changsha it is then not easy to involve more of the biologists. Differences in language and culture are making this even more difficult. |
Exploitation Route | Advise by people with previous experience |
Sectors | Digital/Communication/Information Technologies (including Software),Pharmaceuticals and Medical Biotechnology |
Description | Collaboration between China and UK |
First Year Of Impact | 2015 |
Sector | Education,Healthcare |
Impact Types | Cultural,Societal |
Title | Candidate pathway finding |
Description | Steatosis or fatty liver disease is an important disease sometimes leading to hepatocarcinoma. Most researchers engaged in genomics are searching for so-called candidate genes in their data, which then should identify single-gene causes and single target strategies. We have developed a way to identify/examine 'candidate pathways'. More inn general, the portfolio of projects ahs led to a great increase in number of detailed kinetic models of metabolic pathways (as reported in JWS-Online). these are now of great use for other organisms and the same pathways or other pathways in the same organisms. All these models are also of use for the development of the Infrastructure Systems Biology Europe (ISBE). |
Type Of Material | Model of mechanisms or symptoms - human |
Year Produced | 2016 |
Provided To Others? | Yes |
Impact | This is now used in multiple research projects. Through JWS online and BioModels our models are used by many. |
Description | Snoep |
Organisation | University of Stellenbosch |
Country | South Africa |
Sector | Academic/University |
PI Contribution | Ideas, models, data |
Collaborator Contribution | Ideas, models, data management |
Impact | Publications Models Grant proposals |