Ligand rebinding: self-consistent mean-field theory and numerical simulations applied to surface plasmon resonance studies

dc.contributor.authorGopalakrishnan, Mahimaen
dc.contributor.authorForsten-Williams, Kimberlyen
dc.contributor.authorCassino, T. R.en
dc.contributor.authorPadro, L.en
dc.contributor.authorRyan, T. E.en
dc.contributor.authorTäuber, Uwe C.en
dc.contributor.departmentPhysicsen
dc.date.accessioned2016-09-30T13:08:25Zen
dc.date.available2016-09-30T13:08:25Zen
dc.date.issued2005-10-01en
dc.description.abstractRebinding of dissociated ligands from cell surface proteins can confound quantitative measurements of dissociation rates important for characterizing the affinity of binding interactions. This can be true also for in vitro techniques such as surface plasmon resonance (SPR). We present experimental results using SPR for the interaction of insulin-like growth factor-I (IGF-I) with one of its binding proteins, IGF binding protein3 (IGFBP-3), and show that the dissociation, even with the addition of soluble heparin in the dissociation phase, does not exhibit the expected exponential decay characteristic of a 1:1 binding reaction. We thus consider the effect of (multiple) rebinding events and, within a self-consistent mean-field approximation, we derive the complete mathematical form for the fraction of bound ligands as a function of time. We show that, except for very low association rate and surface coverage, this function is non-exponential at all times, indicating that multiple rebinding events strongly influence dissociation even at early times. We compare the mean-field results with numerical simulations and find good agreement, although deviations are measurable in certain cases. Our analysis of the IGFI-IGFBP-3 data indicates that rebinding is prominent for this system and that the theoretical predictions fit the experimental data well. Our results provide a means for analyzing SPR biosensor data where rebinding is problematic and a methodology to do so is presented.en
dc.description.versionPublished versionen
dc.format.extent943 - 958 (16) page(s)en
dc.identifier.doihttps://doi.org/10.1007/s00249-005-0471-2en
dc.identifier.issn0175-7571en
dc.identifier.issue7en
dc.identifier.urihttp://hdl.handle.net/10919/73109en
dc.identifier.volume34en
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000232405900007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=930d57c9ac61a043676db62af60056c1en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectBiophysicsen
dc.subjectBIOPHYSICSen
dc.subjectsurface plasmon resonanceen
dc.subjectMonte Carlo simulationsen
dc.subjectinsulin-like growth factor-Ien
dc.subjectinsulin-like growth factor binding protein-3en
dc.subjectmean-field theoryen
dc.subjectFACTOR-BINDING PROTEIN-3en
dc.subjectGROWTH-FACTOR-Ien
dc.subjectIGF-Ien
dc.subjectBIOSENSOR MEASUREMENTen
dc.subjectTERMINAL FRAGMENTSen
dc.subjectMASS-TRANSPORTen
dc.subjectKINETICSen
dc.subjectRECEPTORSen
dc.subjectDIFFUSIONen
dc.subjectMACROMOLECULESen
dc.titleLigand rebinding: self-consistent mean-field theory and numerical simulations applied to surface plasmon resonance studiesen
dc.title.serialEuropean Biophysics Journal With Biophysics Lettersen
dc.typeArticle - Refereeden
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Scienceen
pubs.organisational-group/Virginia Tech/Science/COS T&R Facultyen
pubs.organisational-group/Virginia Tech/Science/Physicsen

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