Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-1661
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dc.contributor.authorWeyland, Mathias S.-
dc.contributor.authorFellermann, Harold-
dc.contributor.authorHadorn, Maik-
dc.contributor.authorSorek, Daniel-
dc.contributor.authorLancet, Doron-
dc.contributor.authorRasmussen, Steen-
dc.contributor.authorFüchslin, Rudolf Marcel-
dc.date.accessioned2018-02-14T13:33:31Z-
dc.date.available2018-02-14T13:33:31Z-
dc.date.issued2013-
dc.identifier.issn1748-670Xde_CH
dc.identifier.issn1748-6718de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/2801-
dc.description.abstractWe propose an automaton, a theoretical framework that demonstrates how to improve the yield of the synthesis of branched chemical polymer reactions. This is achieved by separating substeps of the path of synthesis into compartments. We use chemical containers (chemtainers) to carry the substances through a sequence of fixed successive compartments. We describe the automaton in mathematical terms and show how it can be configured automatically in order to synthesize a given branched polymer target. The algorithm we present finds an optimal path of synthesis in linear time. We discuss how the automaton models compartmentalized structures found in cells, such as the endoplasmic reticulum and the Golgi apparatus, and we show how this compartmentalization can be exploited for the synthesis of branched polymers such as oligosaccharides. Lastly, we show examples of artificial branched polymers and discuss how the automaton can be configured to synthesize them with maximal yield.de_CH
dc.language.isoende_CH
dc.publisherHindawide_CH
dc.relation.ispartofComputational and Mathematical Methods in Medicinede_CH
dc.rightshttp://creativecommons.org/licenses/by/3.0/de_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.subject.ddc540: Chemiede_CH
dc.titleThe MATCHIT automaton : exploiting compartmentalization for the synthesis of branched polymersde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Mathematik und Physik (IAMP)de_CH
dc.identifier.doi10.21256/zhaw-1661-
dc.identifier.doi10.1155/2013/467428de_CH
zhaw.funding.euNode_CH
zhaw.issue467428de_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume2013de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
Appears in collections:Publikationen School of Engineering

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Weyland, M. S., Fellermann, H., Hadorn, M., Sorek, D., Lancet, D., Rasmussen, S., & Füchslin, R. M. (2013). The MATCHIT automaton : exploiting compartmentalization for the synthesis of branched polymers. Computational and Mathematical Methods in Medicine, 2013(467428). https://doi.org/10.21256/zhaw-1661
Weyland, M.S. et al. (2013) ‘The MATCHIT automaton : exploiting compartmentalization for the synthesis of branched polymers’, Computational and Mathematical Methods in Medicine, 2013(467428). Available at: https://doi.org/10.21256/zhaw-1661.
M. S. Weyland et al., “The MATCHIT automaton : exploiting compartmentalization for the synthesis of branched polymers,” Computational and Mathematical Methods in Medicine, vol. 2013, no. 467428, 2013, doi: 10.21256/zhaw-1661.
WEYLAND, Mathias S., Harold FELLERMANN, Maik HADORN, Daniel SOREK, Doron LANCET, Steen RASMUSSEN und Rudolf Marcel FÜCHSLIN, 2013. The MATCHIT automaton : exploiting compartmentalization for the synthesis of branched polymers. Computational and Mathematical Methods in Medicine. 2013. Bd. 2013, Nr. 467428. DOI 10.21256/zhaw-1661
Weyland, Mathias S., Harold Fellermann, Maik Hadorn, Daniel Sorek, Doron Lancet, Steen Rasmussen, and Rudolf Marcel Füchslin. 2013. “The MATCHIT Automaton : Exploiting Compartmentalization for the Synthesis of Branched Polymers.” Computational and Mathematical Methods in Medicine 2013 (467428). https://doi.org/10.21256/zhaw-1661.
Weyland, Mathias S., et al. “The MATCHIT Automaton : Exploiting Compartmentalization for the Synthesis of Branched Polymers.” Computational and Mathematical Methods in Medicine, vol. 2013, no. 467428, 2013, https://doi.org/10.21256/zhaw-1661.


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