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Cited 8 time in webofscience Cited 8 time in scopus
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dc.contributor.authorMARDANLOU, VAHID-
dc.contributor.authorYAGHOUBI, KIMIA C-
dc.contributor.authorGREEN, LEOPOLD N-
dc.contributor.authorSUBRAMANIAN, HARI K K-
dc.contributor.authorHARIADI, RIZAL F-
dc.contributor.authorKIM, JONGMIN-
dc.contributor.authorFRANCO, ELISA-
dc.date.accessioned2018-07-16T09:41:15Z-
dc.date.available2018-07-16T09:41:15Z-
dc.date.created2018-06-21-
dc.date.issued2018-03-
dc.identifier.issn1567-7818-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/91961-
dc.description.abstractWe derive a coarse-grained model that captures the temporal evolution of DNA nanotube length distribution during growth experiments. The model takes into account nucleation, polymerization, joining, and fragmentation processes in the nanotube population. The continuous length distribution is segmented, and the time evolution of the nanotube concentration in each length bin is modeled using ordinary differential equations. The binning choice determines the level of coarse graining. This model can handle time varying concentration of tiles, and we foresee that it will be useful to model dynamic behaviors in other types of biomolecular polymers.-
dc.languageEnglish-
dc.publisherSPRINGER-
dc.relation.isPartOfNatural Computing-
dc.titleA coarse-grained model captures the temporal evolution of DNA nanotube length distributions-
dc.typeArticle-
dc.identifier.doi10.1007/s11047-017-9657-7-
dc.type.rimsART-
dc.identifier.bibliographicCitationNatural Computing, v.17, no.1, pp.183 - 199-
dc.identifier.wosid000427731800012-
dc.citation.endPage199-
dc.citation.number1-
dc.citation.startPage183-
dc.citation.titleNatural Computing-
dc.citation.volume17-
dc.contributor.affiliatedAuthorKIM, JONGMIN-
dc.identifier.scopusid2-s2.0-85037351792-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.type.docTypeArticle-
dc.subject.keywordAuthorDNA nanotubes-
dc.subject.keywordAuthorOrdinary differential equations-
dc.subject.keywordAuthorGrowth-
dc.subject.keywordAuthorDynamic DNA nanotechnology-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-

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