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A systems biology approach to understanding and combating Clostridium difficile infection
Jabbari, Sara
(Principal Investigator)
Mathematics
Overview
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Research output
(7)
Research output
Research output per year
2013
2013
2014
2015
2017
2019
2019
3
Chapter
3
Article
1
Conference contribution
Research output per year
Research output per year
3 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
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Article
Search results
2019
Synergistic impacts of organic acids and pH on growth of Pseudomonas aeruginosa: a comparison of parametric and Bayesian non-parametric methods to model growth
Bushell, F.
,
Tonner, P.
,
Jabbari, S.
,
Schmid, A.
&
Lund, P.
,
8 Jan 2019
,
In:
Frontiers in Microbiology.
09
, 3196.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Pseudomonas aeruginosa
100%
Acids
81%
Growth
54%
propionic acid
17%
Logistic Models
17%
16
Citations (Scopus)
254
Downloads (Pure)
2015
Bacterial fitness shapes the population dynamics of antibiotic-resistant and -susceptible bacteria in a model of combined antibiotic and anti-virulence treatment
Ternent, L.
,
Dyson, R. J.
,
Krachler, A.
&
Jabbari, S.
,
7 May 2015
,
In:
Journal of Theoretical Biology.
372
,
p. 1-11
11 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Population Dynamics
100%
Virulence
72%
Bacteria
56%
Anti-Bacterial Agents
55%
Pharmaceutical Preparations
34%
32
Citations (Scopus)
284
Downloads (Pure)
Mathematical modelling reveals properties of TcdC required for it to be a negative regulator of toxin production in Clostridium difficile
Jabbari, S.
,
Cartman, S. T.
&
King, J. R.
,
Mar 2015
,
In:
Journal of Mathematical Biology.
70
,
4
,
p. 773-804
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Clostridium
100%
Clostridium difficile
88%
Regulator
69%
Mathematical Modeling
62%
mathematical models
58%
7
Citations (Scopus)
133
Downloads (Pure)