Extensible and Executable Stochastic Models of Fatty Acid and Lipid Metabolism

Argyris Zardilis, João Dias, Animesh Acharjee, James Smith

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Stochastic reaction-centric views are suitable for exploring hybrid minimal mechanism-statistical models of fatty acid and lipid metabolism, the basis of de novo lipogenesis. In this work, we demonstrate a reduced model for the core fatty acid synthesis and elongation process with a regulatory mechanism. This allows us to explore fatty acid profiles from lipid metabolomics data. This is part of a current study to assess the programming languages for capturing inherent probabilistic behaviour of the hierarchical chemical transformations of complex lipid species.

Original languageEnglish
Title of host publicationComputational Methods in Systems Biology
Subtitle of host publication12th International Conference, CMSB 2014, Manchester, UK, November 17-19, 2014, Proceedings
EditorsPedro Mendes, Joseph O. Dada, Kieran Smallbone
PublisherSpringer
Pages244–247
Number of pages4
Edition1
ISBN (Electronic)9783319129822
ISBN (Print)9783319129815
DOIs
Publication statusPublished - 27 Oct 2014
EventComputational Methods in Systems Biology: 12th International Conference - Manchester, United Kingdom
Duration: 17 Nov 201419 Nov 2014

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume8859
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceComputational Methods in Systems Biology
Abbreviated titleCMSB 2014
Country/TerritoryUnited Kingdom
CityManchester
Period17/11/1419/11/14

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