Consistent parameter estimation in metabolic networks: a case study

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

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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Abstract

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 language	English
Publication date	2009
Number of pages	6
Publication status	Published - 2009
Externally published	Yes
Event	Jornadas de Bioinformática - Calouste Gulbenkian Foundation, Lisabon, Portugal Duration: 3 Nov 2009 → 6 Nov 2009

Conference

Conference	Jornadas de Bioinformática
Location	Calouste Gulbenkian Foundation
Country	Portugal
City	Lisabon
Period	03/11/2009 → 06/11/2009

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title = "Consistent parameter estimation in metabolic networks: a case study",

abstract = "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.",

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AU - Domingues, Alexandre

AU - Vinga, Susana

AU - Gaspar, Paula

AU - Neves, Ana Rute

AU - Santos, Helena

AU - Miranda Lemos, Joao

PY - 2009

Y1 - 2009

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AB - 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.

M3 - Paper

T2 - Jornadas de Bioinformática

Y2 - 3 November 2009 through 6 November 2009

ER -