title: Analysis of exponential data using a noniterative technique: application to surface plasmon experiments.
abstract: The analysis of experimental data of exponential type plays a central role in many biophysical applications. We introduce a novel noniterative algorithm to analyze the association phase and dissociation phase of surface plasmon resonance experiments. It is shown that this algorithm can determine kinetic constants with a high level of accuracy in the presence of significant levels of noise. This algorithm should provide a valuable alternative to existing data analysis techniques.
authors.affiliation: Center for Systems, Communications and Signal Processing, Eric Jonsson School of Electrical Engineering and Computer Science, University of Texas at Dallas, Richardson, TX 75083-0688, USA.
authors.forename: Raimund J
authors.initials: RJ
authors.lastname: Ober
authors.forename: Jeffrey
authors.initials: J
authors.lastname: Caves
authors.forename: E Sally
authors.initials: ES
authors.lastname: Ward
mesh_terms: D000465:Algorithms; D000595:Amino Acid Sequence; D008969:Molecular Sequence Data; D020349:Surface Plasmon Resonance / Q000379:methods*