I am a Birmingham and MRC Fellow in mathematical biology. Specialising in the modelling of gene regulation networks using both numerical and analytical approaches, my work spans a range of biological applications, from drug development to bioenergy to understanding bacterial behaviour. My MRC fellowship gave me the opportunity to gain experimental training in order to generate the complementary data required to adopt a truly interdisciplinary approach to mathematical modelling in biology.
I worked on the SysMO project COSMIC for 4 years and am also a SysMO-DB PAL.
SEEK ID: https://fairdomhub.org/people/149
Location: United Kingdom
ORCID: Not specified
Joined: 26th Mar 2009
Related items
- Programmes (2)
- Projects (1)
- Institutions (1)
- Studies (1)
- Assays (6)
- Data files (2)
- Models (9)
- Publications (4)
Projects: Mathematical modelling of the antibiotic-induced morphological transition of Pseudomonas aeruginosa
Web page: Not specified
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 ...
Projects: BaCell-SysMO, COSMIC, SUMO, KOSMOBAC, SysMO-LAB, PSYSMO, SCaRAB, MOSES, TRANSLUCENT, STREAM, SulfoSys, SysMO DB, SysMO Funders, SilicoTryp, Noisy-Strep
Web page: http://sysmo.net/
Systems Biology of Clostridium acetobutylicum - a possible answer to dwindling crude oil reserves
Programme: SysMO
Public web page: http://www.sysmo.net/index.php?index=54
Organisms: Clostridium acetobutylicum
Mathematical modelling of the dynamic shift experiments and the effect of pH upon gene regulation.
Submitter: Sara Jabbari
Investigation: The effect of pH upon the metabolic shift in Cl...
Assays: Steady state study of the effect of gene regulation on yields of end-pro..., Time-dependent simulations
Snapshots: No snapshots
Investigation of the dynamic switch at pH values between 5.8 and 4.5 (pH 5.5, 5.3, 5.1, 4.9, 4.7 and 4.5).
Submitter: Sara Jabbari
Assay type: Genomics
Technology type: Microarray
Investigation: The effect of pH upon the metabolic shift in Cl...
Organisms: Clostridium acetobutylicum : ATCC824 (wild-type / wild-type)
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Comparison of the transcriptome at steady state in acidogenesis and at steady state in solventogenesis.
Submitter: Sara Jabbari
Assay type: Genomics
Technology type: Microarray
Investigation: The effect of pH upon the metabolic shift in Cl...
Organisms: Clostridium acetobutylicum : ATCC824 (wild-type / wild-type)
SOPs: No SOPs
Data files: Transcriptome data of Clostridium acetobutylicu..., Transcriptome data of Clostridium acetobutylicu...
Snapshots: No snapshots
Investigation of all steady state pH-values between pH 5.7 and 4.5 (pH 5.5, 5.3, 5.1, 4.9, 4.7).
Submitter: Sara Jabbari
Assay type: Proteomics
Technology type: Technology Type
Investigation: The effect of pH upon the metabolic shift in Cl...
Study: Effect of pH on the proteome
Organisms: Clostridium acetobutylicum : ATCC824 (wild-type / wild-type)
SOPs: Standard operating procedure to analyze the int...
Data files: Proteome Reference maps of Clostridium acetobuy..., Proteome of Clostridium acetobutylicum growing ...
Snapshots: No snapshots
Measurements of acetone, butanol, acetate, butyrate and ethanol taken during dynamic shift (pH 5.8, 5.5, 5.3, 5.1, 4.9, 4.7, 4.5) and at steady state (pH 5.7, 5.5, 5.3, 5.1, 4.9, 4.7, 4.5).
Submitter: Sara Jabbari
Assay type: Metabolomics
Technology type: Technology Type
Investigation: The effect of pH upon the metabolic shift in Cl...
Organisms: Clostridium acetobutylicum : ATCC824 (wild-type / wild-type)
SOPs: No SOPs
Data files: End products of Clostridium acetobutylicum grow..., End products of Clostridium acetobutylicum grow...
Snapshots: No snapshots
Time-dependent simulations of the dynamic switch between acidogenesis and solventogenesis based on the metabolic network and pH-dependent regulation of the enzymes.
Submitter: Sara Jabbari
Biological problem addressed: Metabolic Network
Investigation: The effect of pH upon the metabolic shift in Cl...
Organisms: Clostridium acetobutylicum : ATCC824 (wild-type / wild-type)
Models: Dynamic shift model of the effect of pH upon so...
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Steady state study of the effect of altering gene regulation on yields of end-products, focusing on butanol.
Submitter: Sara Jabbari
Biological problem addressed: Gene Expression
Investigation: The effect of pH upon the metabolic shift in Cl...
Organisms: Clostridium acetobutylicum : ATCC824 (wild-type / wild-type)
Models: Dynamic shift model of the effect of pH upon so...
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Growth curves of the PA1008 strain of Pseudomonas aeruginosa with multiple concentrations of meropenem. Data set 1 is used to parametrise the model in our project. This consists of three biological replicates, each with three technical repeats. The meropenem concentrations used for this data set were: 0, 2, 4, 10, 20, 40, 200 ug/ml.
Creators: Chloe Spalding, Sara Jabbari
Submitter: Chloe Spalding
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Growth curves of the PA1008 strain of Pseudomonas aeruginosa with multiple concentrations of meropenem. Data set 1 is used to parametrise the model in our project. This consists of three biological replicates, each with three technical repeats. The meropenem concentrations used for this data set were: 0, 0.5, 1, 5, 10, 50, 100 ug/ml.
Creators: Chloe Spalding, Sara Jabbari
Submitter: Chloe Spalding
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
This mechanistic ODE model describes the growth dynamics of P. aeruginosa, including an antibiotic-induced morphological transition to a fragile spherical form.
Creators: Chloe Spalding, Sara Jabbari
Submitter: Chloe Spalding
Model type: Not specified
Model format: Not specified
Environment: Not specified
Organism: Not specified
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
An ODE model of the gene regulation network governing sporulation initiation in Bacillus subtilis to be run in Matlab.
The network incorporates four sporulation-related signals: nutrient supply, DNA damage, the products of the competence genes and the bacterial population size.
Run execute_bacillus_sporulation_initiation.m to simulate the model. This file also contains the signal-related parameters which can be altered to investigate the effect of competing signals.
Some results for this model ...
Creator: Sara Jabbari
Submitter: Sara Jabbari
Model type: Ordinary differential equations (ODE)
Model format: Matlab package
Environment: Not specified
Quorum sensing(QS) allows the bacteria to monitor their surroundings and the size of their population. Staphylococcus aureus makes use of QS to regulate the production of virulence factors. This mathematical model of the QS system in S aureus was presented and analyzed (Journal of Mathematical Biology(2010) 61:17–54) in order to clarify the roles of the distinct interactions that make up the QS process, demonstrating which reactions dominate the behaviour of the system at various timepoints. ...
Creators: Sara Jabbari, John King, Adrian Koerber, Paul Williams
Submitter: Franco du Preez
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: JWS Online
Organism: Not specified
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
An ODE model representing the metabolic network governing acid and solvent production by Clostridium acetobutylicum (Haus et al. BMC Systems Biology 2011, 5:10), incorporating the effect of pH upon gene regulation and subsequent end-product levels. This model describes the third of four experiments in which the pH of the culture was shifted. For this experiment acidogenesis at pH 5.7 was maintained for 121 hours, after which the pH control was stopped, allowing the natural metabolic shift to the ...
Creators: Sara Jabbari, Sylvia Haus
Submitter: Franco du Preez
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: JWS Online
Organism: Clostridium acetobutylicum
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
An ODE model representing the metabolic network governing acid and solvent production by Clostridium acetobutylicum (Haus et al. BMC Systems Biology 2011, 5:10), incorporating the effect of pH upon gene regulation and subsequent end-product levels. This model describes the last of four experiments in which the pH of the culture was shifted. For this experiment the pH shift was reversed compared to the first three (shift from pH 4.5 to 5.7), with the pH control switched off after 129 hours. ...
Creators: Sara Jabbari, Sylvia Haus
Submitter: Franco du Preez
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: JWS Online
Organism: Clostridium acetobutylicum
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
An ODE model representing the metabolic network governing acid and solvent production by Clostridium acetobutylicum (Haus et al. BMC Systems Biology 2011, 5:10), incorporating the effect of pH upon gene regulation and subsequent end-product levels. This model describes the second of four experiments in which the pH of the culture was shifted. For this experiment acidogenesis at pH 5.7 was maintained for 137.5 hours, after which the pH control was stopped, allowing the natural metabolic shift to ...
Creators: Sara Jabbari, Sylvia Haus
Submitter: Franco du Preez
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: JWS Online
Organism: Clostridium acetobutylicum
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
An ODE model representing the metabolic network governing acid and solvent production by Clostridium acetobutylicum (Haus et al. BMC Systems Biology 2011, 5:10), incorporating the effect of pH upon gene regulation and subsequent end-product levels. This model describes the first of four experiments in which the pH of the culture was shifted. For this experiment acidogenesis at pH 5.7 was maintained for 137 hours, after which the pH control was stopped, allowing the natural metabolic shift to the ...
Creators: Sara Jabbari, Sylvia Haus
Submitter: Franco du Preez
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: JWS Online
Organism: Clostridium acetobutylicum
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
Bacillus subtilis cells may opt to forgo normal cell division and instead form spores if subjected to certain environmental stimuli, for example nutrient deficiency or extreme temperature. The gene regulation net-work governing sporulation initiation accordingly incorporates a variety of signals and is of significant complexity. The present model (Bulletin of Mathematical Biology (2011) 73:181–211) includes four of these signals: nutrient levels, DNA damage, the products of the competence genes, ...
Creators: Sara Jabbari, John Heap, John King
Submitter: Franco du Preez
Model type: Ordinary differential equations (ODE)
Model format: Not specified
Environment: JWS Online
Organism: Clostridium acetobutylicum
Investigations: No Investigations
Studies: No Studies
Assays: No Assays
An ODE model representing the metabolic network governing acid and solvent production by Clostridium acetobutylicum, incorporating the effect of pH upon gene regulation and subsequent end-product levels.
The zip file containes 4 models (in SBML), each representing slightly different experimental conditions.
Creators: Sara Jabbari, Sylvia Haus
Submitter: The JERM Harvester
Model type: Ordinary differential equations (ODE)
Model format: SBML
Environment: Not specified
Abstract (Expand)
Authors: , , , Birgit Voigt, Michael Hecker, ,
Date Published: 1st Aug 2010
Publication Type: Not specified
DOI: 10.1007/s00253-010-2741-x
Citation:
Abstract (Expand)
Date Published: 30th Nov 2009
Publication Type: Not specified
PubMed ID: 20214910
Citation:
Abstract (Expand)
Editor:
Date Published: 21st Jul 2009
Publication Type: Not specified
PubMed ID: 20238180
Citation:
Abstract (Expand)
Authors: , , Adrian J Koerber, Paul Williams
Date Published: 19th Feb 2009
Publication Type: Not specified
PubMed ID: 19688348
Citation: