Analysis of Exponential Data Using a Noniterative Technique: Application to Surface Plasmon Experiments

Anal Biochem. 2003 Jan 1;312(1):57-65. doi: 10.1016/s0003-2697(02)00431-1.

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.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Algorithms
  • Amino Acid Sequence
  • Molecular Sequence Data
  • Surface Plasmon Resonance / methods*