title: Note: Model identification and analysis of bivalent analyte surface plasmon resonance data.
abstract: Surface plasmon resonance (SPR) is a widely used, affinity based, label-free biophysical technique to investigate biomolecular interactions. The extraction of rate constants requires accurate identification of the particular binding model. The bivalent analyte model involves coupled non-linear differential equations. No clear procedure to identify the bivalent analyte mechanism has been established. In this report, we propose a unique signature for the bivalent analyte model. This signature can be used to distinguish the bivalent analyte model from other biphasic models. The proposed method is demonstrated using experimentally measured SPR sensorgrams.
authors.affiliation: Department of Oncology, Georgetown University, Washington, District of Columbia 20057, USA.
authors.forename: Purushottam Babu
authors.initials: PB
authors.lastname: Tiwari
authors.affiliation: Department of Oncology, Georgetown University, Washington, District of Columbia 20057, USA.
authors.forename: Aykut
authors.initials: A
authors.lastname: Üren
authors.affiliation: Department of Physics, Florida International University, Miami, Florida 33199, USA.
authors.forename: Jin
authors.initials: J
authors.lastname: He
authors.affiliation: Department of Physics, Florida International University, Miami, Florida 33199, USA.
authors.forename: Yesim
authors.initials: Y
authors.lastname: Darici
authors.affiliation: Department of Physics, Florida International University, Miami, Florida 33199, USA.
authors.forename: Xuewen
authors.initials: X
authors.lastname: Wang
mesh_terms: D003198:Computer Simulation; D003598:Cytoskeletal Proteins / Q000737:chemistry; D008962:Models, Theoretical; D017711:Nonlinear Dynamics; D020349:Surface Plasmon Resonance / Q000379:methods*; D000099149:Ezrin
chemical_list: D003598:Cytoskeletal Proteins; D000099149:Ezrin