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Autor(en) / Beteiligte
Titel
Cardinality optimization in constraint-based modelling: application to human metabolism
Ist Teil von
  • Bioinformatics (Oxford, England), 2023-09, Vol.39 (9)
Ort / Verlag
Oxford University Press
Erscheinungsjahr
2023
Link zum Volltext
Quelle
EZB Free E-Journals
Beschreibungen/Notizen
  • Abstract Motivation Several applications in constraint-based modelling can be mathematically formulated as cardinality optimization problems involving the minimization or maximization of the number of nonzeros in a vector. These problems include testing for stoichiometric consistency, testing for flux consistency, testing for thermodynamic flux consistency, computing sparse solutions to flux balance analysis problems and computing the minimum number of constraints to relax to render an infeasible flux balance analysis problem feasible. Such cardinality optimization problems are computationally complex, with no known polynomial time algorithms capable of returning an exact and globally optimal solution. Results By approximating the zero-norm with nonconvex continuous functions, we reformulate a set of cardinality optimization problems in constraint-based modelling into a difference of convex functions. We implemented and numerically tested novel algorithms that approximately solve the reformulated problems using a sequence of convex programs. We applied these algorithms to various biochemical networks and demonstrate that our algorithms match or outperform existing related approaches. In particular, we illustrate the efficiency and practical utility of our algorithms for cardinality optimization problems that arise when extracting a model ready for thermodynamic flux balance analysis given a human metabolic reconstruction. Availability and implementation Open source scripts to reproduce the results are here https://github.com/opencobra/COBRA.papers/2023_cardOpt with general purpose functions integrated within the COnstraint-Based Reconstruction and Analysis toolbox: https://github.com/opencobra/cobratoolbox.
Sprache
Englisch
Identifikatoren
ISSN: 1367-4811, 1367-4803
eISSN: 1367-4811
DOI: 10.1093/bioinformatics/btad450
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10495685
Format
Schlagworte
Original Paper

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