An HMM-based algorithm for evaluating rates of receptor-ligand binding kinetics from thermal fluctuation data.

Author: Lining Ju

Date: 4/18/2013

Journal:Bioinformatics (Oxford, England)

PMID:23599504

DOI: 10.1093/bioinformatics/btt180

Link: http://www.ncbi.nlm.nih.gov/pubmed/23599504

Abstract

Abrupt reduction/resumption of thermal fluctuations of a force probe has been used to identify association/dissociation events of protein-ligand bonds. We show that off-rate of molecular dissociation can be estimated by the analysis of the bond lifetime, while the on-rate of molecular association can be estimated by the analysis of the waiting time between two neighboring bond events. However, the analysis relies heavily on subjective judgments and is time-consuming. To automate the process of mapping out bond events from thermal fluctuation data, we develop a hidden Markov model (HMM)-based method.