BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTSTAMP:20260625T154730Z
UID:021fd269-4215-498a-b427-8de1a3ce3ae3
DTSTART:20230222T090000Z
DTEND:20230222T170000Z
DESCRIPTION:Metabolic models are typically characterised by a large number 
 of parameters. Traditionally\, metabolic control analysis has been applied
  to differential equation-based models to investigate the sensitivity of p
 redictions to parameters. A corresponding theory for constraint-based meta
 bolic models is lacking due to their formulation as optimization problems.
  In this webinar we will show several applications of differentiating opti
 mal solutions of constraint-based models\, and show how it connects to cla
 ssic metabolic control analysis. Efficient differentiation of constraint-b
 ased models can be used to calculate the sensitivities of predicted reacti
 on fluxes and enzyme concentrations to turnover number parameters in an en
 zyme-constrained metabolic model of _Escherichia coli_. Further\, it unlo
 cks the ability to use gradient information for parameter estimation. We d
 emonstrate this by improving\, genome-wide\, the state-of-the-art turnover
  number estimates for _E. coli_. Finally\, this technique can be used to 
 differentiate the optimal solution of a model incorporating both thermodyn
 amic and kinetic rate equations. The predicted growth rate sensitivity to 
 metabolite concentrations was shown to align well against experimentally m
 easured metabolome changes subject to gene knockouts.\n\n### About the spe
 aker\n\nSt. Elmo Wilken completed his undergraduate degree in Chemical Eng
 ineering at the University of Pretoria. His Ph.D. at the University of Cal
 ifornia\, Santa Barbara leveraged both computational and wet lab aspects t
 o investigate and understand the metabolism of anaerobic gut fungi. His cu
 rrent postdoc at the Institute of Quantitative and Theoretical Biology at 
 the Heinrich Heine University in Düsseldorf is focused on using quantitat
 ive models to elucidate the contribution of metabolism to the stability an
 d composition of microbial consortia. He partnered with PerMedCoE research
 ers\, including Dr. Miroslav Kratochvil\, to develop a way to differentiat
 e constraint-based models to conduct sensitivity analyses efficiently. 
LOCATION:\, 
SUMMARY:Interrogating the effect of enzyme kinetics on metabolism using dif
 ferentiable constraint-based models
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/interrogating-effect-en
 zyme-kinetics-metabolism-using-differentiable-constraint-based-models
END:VEVENT
END:VCALENDAR