Computational Methods for Modification of Metabolic Networks
Author(s) -
Takeyuki Tamura,
Wei Lu,
Tatsuya Akutsu
Publication year - 2015
Publication title -
computational and structural biotechnology journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.908
H-Index - 45
ISSN - 2001-0370
DOI - 10.1016/j.csbj.2015.05.004
Subject(s) - overfitting , flux balance analysis , metabolic network , metabolic engineering , computer science , set (abstract data type) , constraint (computer aided design) , task (project management) , flux (metallurgy) , metabolic pathway , mathematical optimization , algorithm , mathematics , artificial intelligence , computational biology , chemistry , biology , gene , biochemistry , engineering , artificial neural network , geometry , systems engineering , organic chemistry , programming language
In metabolic engineering, modification of metabolic networks is an important biotechnology and a challenging computational task. In the metabolic network modification, we should modify metabolic networks by newly adding enzymes or/and knocking-out genes to maximize the biomass production with minimum side-effect. In this mini-review, we briefly review constraint-based formalizations for Minimum Reaction Cut (MRC) problem where the minimum set of reactions is deleted so that the target compound becomes non-producible from the view point of the flux balance analysis (FBA), elementary mode (EM), and Boolean models. Minimum Reaction Insertion (MRI) problem where the minimum set of reactions is added so that the target compound newly becomes producible is also explained with a similar formalization approach. The relation between the accuracy of the models and the risk of overfitting is also discussed.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom