PMID:23396281

Citation	Persson, F, Lindén, M, Unoson, C and Elf, J (2013) Extracting intracellular diffusive states and transition rates from single-molecule tracking data. Nat. Methods 10:265-9
Abstract	We provide an analytical tool based on a variational Bayesian treatment of hidden Markov models to combine the information from thousands of short single-molecule trajectories of intracellularly diffusing proteins. The method identifies the number of diffusive states and the state transition rates. Using this method we have created an objective interaction map for Hfq, a protein that mediates interactions between small regulatory RNAs and their mRNA targets.
Links	PubMed Online version:10.1038/nmeth.2367
Keywords	Algorithms; Binding Sites; Computer Simulation; Escherichia coli/genetics; Escherichia coli/metabolism; Escherichia coli Proteins/genetics; Escherichia coli Proteins/metabolism; Host Factor 1 Protein/genetics; Host Factor 1 Protein/metabolism; Kinetics; Markov Chains; Models, Biological; Protein Binding; RNA, Messenger/genetics; RNA, Messenger/metabolism; RNA, Small Untranslated/genetics; RNA, Small Untranslated/metabolism
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