Matches in SemOpenAlex for { <https://semopenalex.org/work/W2015761685> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W2015761685 endingPage "167" @default.
- W2015761685 startingPage "159" @default.
- W2015761685 abstract "Biological information generated by high-throughput technology has made systems approach feasible for many biological problems. By this approach, optimization of metabolic pathway has been successfully applied in the amino acid production. However, in this technique, gene modifications of metabolic control architecture as well as enzyme expression levels are coupled and result in a mixed integer nonlinear programming problem. Furthermore, the stoichiometric complexity of metabolic pathway, along with strong nonlinear behaviour of the regulatory kinetic models, directs a highly rugged contour in the whole optimization problem. There may exist local optimal solutions wherein the same level of production through different flux distributions compared with global optimum. The purpose of this work is to develop a novel stochastic optimization approach-information guided genetic algorithm (IGA) to discover the local optima with different levels of modification of the regulatory loop and production rates. The novelties of this work include the information theory, local search, and clustering analysis to discover the local optima which have physical meaning among the qualified solutions." @default.
- W2015761685 created "2016-06-24" @default.
- W2015761685 creator A5017721167 @default.
- W2015761685 creator A5027099046 @default.
- W2015761685 creator A5045316952 @default.
- W2015761685 creator A5052746677 @default.
- W2015761685 creator A5067200824 @default.
- W2015761685 date "2007-08-01" @default.
- W2015761685 modified "2023-09-23" @default.
- W2015761685 title "On the local optimal solutions of metabolic regulatory networks using information guided genetic algorithm approach and clustering analysis" @default.
- W2015761685 cites W1502529406 @default.
- W2015761685 cites W1570033250 @default.
- W2015761685 cites W1965718082 @default.
- W2015761685 cites W1983120620 @default.
- W2015761685 cites W2017773796 @default.
- W2015761685 cites W2020241931 @default.
- W2015761685 cites W2043765208 @default.
- W2015761685 cites W2049174636 @default.
- W2015761685 cites W2051940874 @default.
- W2015761685 cites W2060094856 @default.
- W2015761685 cites W2076262841 @default.
- W2015761685 cites W2123950200 @default.
- W2015761685 cites W2126334841 @default.
- W2015761685 cites W2993383518 @default.
- W2015761685 cites W4231757017 @default.
- W2015761685 doi "https://doi.org/10.1016/j.jbiotec.2007.06.019" @default.
- W2015761685 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/17669537" @default.
- W2015761685 hasPublicationYear "2007" @default.
- W2015761685 type Work @default.
- W2015761685 sameAs 2015761685 @default.
- W2015761685 citedByCount "5" @default.
- W2015761685 countsByYear W20157616852013 @default.
- W2015761685 countsByYear W20157616852014 @default.
- W2015761685 crossrefType "journal-article" @default.
- W2015761685 hasAuthorship W2015761685A5017721167 @default.
- W2015761685 hasAuthorship W2015761685A5027099046 @default.
- W2015761685 hasAuthorship W2015761685A5045316952 @default.
- W2015761685 hasAuthorship W2015761685A5052746677 @default.
- W2015761685 hasAuthorship W2015761685A5067200824 @default.
- W2015761685 hasConcept C121332964 @default.
- W2015761685 hasConcept C126255220 @default.
- W2015761685 hasConcept C137836250 @default.
- W2015761685 hasConcept C141934464 @default.
- W2015761685 hasConcept C154945302 @default.
- W2015761685 hasConcept C158622935 @default.
- W2015761685 hasConcept C33923547 @default.
- W2015761685 hasConcept C41008148 @default.
- W2015761685 hasConcept C62520636 @default.
- W2015761685 hasConcept C73555534 @default.
- W2015761685 hasConceptScore W2015761685C121332964 @default.
- W2015761685 hasConceptScore W2015761685C126255220 @default.
- W2015761685 hasConceptScore W2015761685C137836250 @default.
- W2015761685 hasConceptScore W2015761685C141934464 @default.
- W2015761685 hasConceptScore W2015761685C154945302 @default.
- W2015761685 hasConceptScore W2015761685C158622935 @default.
- W2015761685 hasConceptScore W2015761685C33923547 @default.
- W2015761685 hasConceptScore W2015761685C41008148 @default.
- W2015761685 hasConceptScore W2015761685C62520636 @default.
- W2015761685 hasConceptScore W2015761685C73555534 @default.
- W2015761685 hasIssue "2" @default.
- W2015761685 hasLocation W20157616851 @default.
- W2015761685 hasLocation W20157616852 @default.
- W2015761685 hasOpenAccess W2015761685 @default.
- W2015761685 hasPrimaryLocation W20157616851 @default.
- W2015761685 hasRelatedWork W2030651013 @default.
- W2015761685 hasRelatedWork W2045438354 @default.
- W2015761685 hasRelatedWork W2278611880 @default.
- W2015761685 hasRelatedWork W2725202000 @default.
- W2015761685 hasRelatedWork W2921331284 @default.
- W2015761685 hasRelatedWork W2921705328 @default.
- W2015761685 hasRelatedWork W2962806459 @default.
- W2015761685 hasRelatedWork W3045755196 @default.
- W2015761685 hasRelatedWork W4294811631 @default.
- W2015761685 hasRelatedWork W50211061 @default.
- W2015761685 hasVolume "131" @default.
- W2015761685 isParatext "false" @default.
- W2015761685 isRetracted "false" @default.
- W2015761685 magId "2015761685" @default.
- W2015761685 workType "article" @default.