Article (Scientific journals)
Importance of the biomass formulation for cancer metabolic modeling and drug prediction.
Moscardo Garcia, Maria; Pires Pacheco, Maria Irene; Bintener, Tamara Jean Rita et al.
2021In iScience, 24 (10), p. 103110
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Keywords :
In silico biology; Mathematical biosciences; Metabolic flux analysis
Abstract :
[en] Genome-scale metabolic reconstructions include all known biochemical reactions occurring in a cell. A typical application is the prediction of potential drug targets for cancer treatment. The precision of these predictions relies on the definition of the objective function. Generally, the biomass reaction is used to illustrate the growth capacity of a cancer cell. Today, seven human biomass reactions can be identified in published metabolic models. The impact of these differences on the metabolic model predictions has not been explored in detail. We explored this impact on cancer metabolic model predictions and showed that the metabolite composition and the associated coefficients had a large impact on the growth rate prediction accuracy, whereas gene essentiality predictions were mainly affected by the metabolite composition. Our results demonstrate the importance of defining a consensus biomass reaction compatible with most human models, which would contribute to ensuring the reproducibility and consistency of the results.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Moscardo Garcia, Maria ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
Pires Pacheco, Maria Irene ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
Bintener, Tamara Jean Rita 
Presta, Luana ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
Sauter, Thomas ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
External co-authors :
no
Language :
English
Title :
Importance of the biomass formulation for cancer metabolic modeling and drug prediction.
Publication date :
2021
Journal title :
iScience
ISSN :
2589-0042
Publisher :
Elsevier, Cambridge, United States - Massachusetts
Volume :
24
Issue :
10
Pages :
103110
Peer reviewed :
Peer Reviewed verified by ORBi
Commentary :
© 2021 The Author(s).
Available on ORBilu :
since 02 November 2021

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