title: Bayesian Estimation of the Active Concentration and Affinity Constants Using Surface Plasmon Resonance Technology.
abstract: Surface plasmon resonance (SPR) has previously been employed to measure the active concentration of analyte in addition to the kinetic rate constants in molecular binding reactions. Those approaches, however, have a few restrictions. In this work, a Bayesian approach is developed to determine both active concentration and affinity constants using SPR technology. With the appropriate prior probabilities on the parameters and a derived likelihood function, a Markov Chain Monte Carlo (MCMC) algorithm is applied to compute the posterior probability densities of both the active concentration and kinetic rate constants based on the collected SPR data. Compared with previous approaches, ours exploits information from the duration of the process in its entirety, including both association and dissociation phases, under partial mass transport conditions; do not depend on calibration data; multiple injections of analyte at varying flow rates are not necessary. Finally the method is validated by analyzing both simulated and experimental datasets. A software package implementing our approach is developed with a user-friendly interface and made freely available.
authors.affiliation: Department of Microbiology, Boston University School of Medicine, Boston, Massachusetts, 02118, United States of America.
authors.forename: Feng
authors.initials: F
authors.lastname: Feng
authors.affiliation: Department of Microbiology, Boston University School of Medicine, Boston, Massachusetts, 02118, United States of America; Department of Mathematics & Statistics, Boston University, Boston, Massachusetts, 02118, United States of America.
authors.forename: Thomas B
authors.initials: TB
authors.lastname: Kepler
mesh_terms: D000465:Algorithms; D001499:Bayes Theorem; D002138:Calibration; D003198:Computer Simulation; D007700:Kinetics; D008390:Markov Chains; D008954:Models, Biological; D009010:Monte Carlo Method; D012044:Regression Analysis; D012984:Software; D020349:Surface Plasmon Resonance / Q000379:methods