dc.creatorAmarante, Adriano M.
dc.creatorOliveira, Guedmiller S.
dc.creatorBueno, Carolina C.
dc.creatorCunha, Richard A.
dc.creatorIerich, Jéssica C. M.
dc.creatorFreitas, Luiz C. G.
dc.creatorFranca, Eduardo F.
dc.creatorOliveira Junior, Osvaldo Novais de
dc.creatorLeite, Fábio L.
dc.date.accessioned2016-06-10T18:28:57Z
dc.date.accessioned2018-07-04T17:08:58Z
dc.date.available2016-06-10T18:28:57Z
dc.date.available2018-07-04T17:08:58Z
dc.date.created2016-06-10T18:28:57Z
dc.date.issued2014-09
dc.identifierJournal of Molecular Graphics and Modelling,Philadelphia : Elsevier,v. 53, p. 100-104, Sept. 2014
dc.identifier1093-3263
dc.identifierhttp://www.producao.usp.br/handle/BDPI/50304
dc.identifier10.1016/j.jmgm.2014.07.009
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1645318
dc.description.abstractA stochastic simulation of adsorption processes was developed to simulate the coverage of an atomic force microscope (AFM) tip with enzymes represented as rigid polyhedrons. From geometric considerations of the enzyme structure and AFM tip, we could estimate the average number of active sites available to interact with substrate molecules in the bulk. The procedure was exploited to determine the interaction force between acetyl-CoA carboxylase enzyme (ACC enzyme) and its substrate diclofop, for which steered molecular dynamics (SMD) was used. The theoretical force of (1.6 ± 0.5) nN per enzyme led to a total force in remarkable agreement with the experimentally measured force with AFM, thus demonstrating the usefulness of the procedure proposed here to assist in the interpretation of nanobiosensors experiments.
dc.languageeng
dc.publisherElsevier
dc.publisherPhiladelphia
dc.relationJournal of Molecular Graphics and Modelling
dc.rightsCopyright Elsevier
dc.rightsrestrictedAccess
dc.subjectComputational rigid model
dc.subjectStochastic adsorption
dc.subjectEnzyme modeling
dc.subjectACC enzyme
dc.subjectSMD
dc.subjectAFM
dc.titleModeling the coverage of an AFM tip by enzymes and its application in nanobiosensors
dc.typeArtículos de revistas


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