Consistent parameter estimation in metabolic networks: a case study

Alexandre Domingues, Susana Vinga, Paula Gaspar, Ana Rute Neves, Helena Santos, Joao Miranda Lemos

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Valid mathematical models for metabolic networks can avoid time consuming and expensive experiments when testing and acquiring data from these networks. The process of formulating these models and estimating its parameters is complex and there is no defined and straightforward framework to obtain valid solutions. This paper presents a procedure to estimate parameters using data sets from different experiments, ensuring the consistency of the estimates. The procedure is illustrated by a case study on the effect of Nisin on Mannitol production in Lactococcus lactis.
Original languageEnglish
Publication date2009
Number of pages6
Publication statusPublished - 2009
Externally publishedYes
EventJornadas de Bioinformática - Calouste Gulbenkian Foundation, Lisabon, Portugal
Duration: 3 Nov 20096 Nov 2009


ConferenceJornadas de Bioinformática
Location Calouste Gulbenkian Foundation


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