Bayesian Inference of Binding Kinetics from Fluorescence Time Series.

ABSTRACT: The study of binding kinetics via the analysis of fluorescence time traces is often confounded by measurement noise and photophysics. Although photoblinking can be mitigated by using labels less likely to photoswitch, photobleaching generally cannot be eliminated. Current methods for measuring binding and unbinding rates are therefore limited by concurrent photobleaching events. Here, we propose a method to infer binding and unbinding rates alongside photobleaching rates using fluorescence intensity traces. Our approach is a two-stage process involving analyzing individual regions of interest (ROIs) with a Hidden Markov Model to infer the fluorescence intensity levels of each trace. We then use the inferred intensity level state trajectory from all ROIs to infer kinetic rates. Our method h

SUBMITTER: Bryan JS 

PROVIDER: S-EPMC11838460 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature