ArticleBiophysical journal2018
Increasing the Time Resolution of Single-Molecule Experiments with Bayesian Inference.
Article in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- A cascade of structural rearrangements positions peptide release factor 2 for polypeptide hydrolysis on the ribosome.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Bayesian analysis and efficient algorithms for single-molecule fluorescence data and step counting.Biophysical journal · 2025Article
- Domain coupling in activation of a family C GPCR.Nature chemical biology · 2025Article
- Bayesian analysis and efficient algorithms for single-molecule fluorescence data and step counting.bioRxiv : the preprint server for biology · 2025Article
- Using Bayesian priors to overcome non-identifiablility issues in Hidden Markov models.bioRxiv : the preprint server for biology · 2025Article
- Increasing the accuracy of single-molecule data analysis using tMAVEN.Biophysical journal · 2024Article
- Deep-LASI, single-molecule data analysis software.Biophysical journal · 2024Article
- Increasing the accuracy of single-molecule data analysis using tMAVEN.bioRxiv : the preprint server for biology · 2024Article
- Entropic control of the free-energy landscape of an archetypal biomolecular machine.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Article
- Extraction of rapid kinetics from smFRET measurements using integrative detectors.Cell reports. Physical science · 2021Article
- Bayesian Inference: The Comprehensive Approach to Analyzing Single-Molecule Experiments.Annual review of biophysics · 2021Review
- FRET-based dynamic structural biology: Challenges, perspectives and an appeal for open-science practices.eLife · 2021Review
- Generalizing HMMs to Continuous Time for Fast Kinetics: Hidden Markov Jump Processes.Biophysical journal · 2021Article
- Bayesian-Estimated Hierarchical HMMs Enable Robust Analysis of Single-Molecule Kinetic Heterogeneity.Biophysical journal · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Many time-resolved single-molecule biophysics experiments seek to characterize the kinetics of biomolecular systems exhibiting dynamics that challenge the time resolution of the given technique. Here, we present a general, computational approach to this problem that employs Bayesian inference to learn the underlying dynamics of such systems, even when they are much faster than the time resolution of the experimental technique being used. By accurately and precisely inferring rate constants, our Bayesian inference for the analysis of subtemporal resolution dynamics approach effectively enables the experimenter to super-resolve the poorly resolved dynamics that are present in their data.
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