Title of article
Optimization ofbiochemicalsystemsthroughmathematicalprogramming:Methods and applications
Author/Authors
Julio Vera، نويسنده , , CarlosGonz?lez-Alc?nb، نويسنده , , AlbertoMar?n-Sanguinoc، نويسنده , , NéstorTorresd، نويسنده ,
Issue Information
ماهنامه با شماره پیاپی سال 2010
Pages
12
From page
1427
To page
1438
Abstract
In thisworkwepresentageneral(monoandmultiobjective)optimizationframeworkforthetechno-
logical improvementofbiochemicalsystems.Thestartingpointofthemethodisamathematicalmodel
in ordinarydifferentialequations(ODEs)oftheinvestigatedsystem,basedonqualitativebiological
knowledge andquantitativeexperimentaldata.Inthemethodwetakeadvantageofthespecialstructural
features ofafamilyofODEscalledpower-lawmodelstoreducethecomputationalcomplexityofthe
optimization program.Inthisway,thegeneticmanipulationofabiochemicalsystemtomeetacertain
biotechnological goalcanbeexpressedasanoptimizationprogramwithsomedesiredpropertiessuchas
linearity orconvexity.
The generalmethodofoptimizationispresentedanddiscussedinitslinearandgeometricprogramming
versions. Wefurthermoreillustratetheuseofthemethodbyseveralrealcasestudies.Weconcludethat
the technologicalimprovementofmicroorganismscanbeaffordedusingthecombinationofmathematical
modelling andoptimization.Thesystematicnatureofthisapproachfacilitatestheredesignofbiochemical
systems andmakesthisapredictiveexerciseratherthana trial-and-error procedure.
Keywords
Geometric programming , Power-law formalism , Biochemical systems , S-systems , Generalized mass action , Multiobjective optimization , Linear programming
Journal title
Computers and Operations Research
Serial Year
2010
Journal title
Computers and Operations Research
Record number
927753
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