Perturbing thermo dynamically unfeasible metabolic networks

R. Nigam; S. Liang

doi:10.1007/11532323_5

Perturbing thermo dynamically unfeasible metabolic networks

R. Nigam, S. Liang

Bioinformatics & Computational Biology

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

Reactions within the cell should satisfy the law of mass conservation and the second law of thermodynamics. Networks of reactions violating any of these laws are unphysical and cannot occur in nature. In this paper we describe a technique that perturbs an unfeasible network to produce a metabolic network that satisfies the two fundamental laws. This algorithm has been applied to study the metabolic pathways of E. coli.

Original language	English (US)
Pages (from-to)	30-41
Number of pages	12
Journal	Lecture Notes in Bioinformatics (Subseries of Lecture Notes in Computer Science)
Volume	3594
DOIs	https://doi.org/10.1007/11532323_5
State	Published - 2005
Event	Brazilian Symposium on Bioinformatics, BSB 2005: Advances in Bioinformatics and Computational Biology - Sao Leopoldo, Brazil Duration: Jul 27 2005 → Jul 29 2005

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/11532323_5

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abstract = "Reactions within the cell should satisfy the law of mass conservation and the second law of thermodynamics. Networks of reactions violating any of these laws are unphysical and cannot occur in nature. In this paper we describe a technique that perturbs an unfeasible network to produce a metabolic network that satisfies the two fundamental laws. This algorithm has been applied to study the metabolic pathways of E. coli.",

author = "R. Nigam and S. Liang",

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AB - Reactions within the cell should satisfy the law of mass conservation and the second law of thermodynamics. Networks of reactions violating any of these laws are unphysical and cannot occur in nature. In this paper we describe a technique that perturbs an unfeasible network to produce a metabolic network that satisfies the two fundamental laws. This algorithm has been applied to study the metabolic pathways of E. coli.

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JO - Lecture Notes in Bioinformatics (Subseries of Lecture Notes in Computer Science)

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ER -

Perturbing thermo dynamically unfeasible metabolic networks

Abstract

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