ArticleBiophysical journal2012
A Bayesian inference scheme to extract diffusivity and potential fields from confined single-molecule trajectories.
Article in Biophysical journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Estimating Permeabilities from Biased Molecular Dynamics with a Green-Kubo Formalism for Transport across the Blood-Brain Barrier.Journal of chemical information and modeling · 2026Article
- Review of Machine Learning for Single-Particle Tracking: Methods, Challenges, and Biophysical Insights.Chemical & biomedical imaging · 2026Review
- Harnessing non-equilibrium forces to optimize work extraction.Nature communications · 2025Article
- Article
- DiffMAP-GP: Continuous 2D diffusion maps from particle trajectories without data binning using Gaussian processes.Biophysical reports · 2025Article
- Permeability Benchmarking: Guidelines for ComparingJournal of chemical information and modeling · 2025Review
- Confinement energy landscape classification reveals membrane receptor nano-organization mechanisms.Biophysical journal · 2024Article
- Learning Continuous 2D Diffusion Maps from Particle Trajectories without Data Binning.bioRxiv : the preprint server for biology · 2024Article
- Single-molecule tracking to determine the abundances and stoichiometries of freely-diffusing protein complexes in living cells: Past applications and future prospects.The Journal of chemical physics · 2023Review
- Inferring potential landscapes from noisy trajectories of particles within an optical feedback trap.iScience · 2022Article
- Inferring effective forces for Langevin dynamics using Gaussian processes.The Journal of chemical physics · 2020Article
- Errors in Energy Landscapes Measured with Particle Tracking.Biophysical journal · 2018Article
- Communication: Coordinate-dependent diffusivity from single molecule trajectories.The Journal of chemical physics · 2017Article
- Unraveling the Thousand Word Picture: An Introduction to Super-Resolution Data Analysis.Chemical reviews · 2017Article
- Subdiffusion in Membrane Permeation of Small Molecules.Scientific reports · 2016Article
- Single-Molecule Imaging of Nav1.6 on the Surface of Hippocampal Neurons Reveals Somatic Nanoclusters.Biophysical journal · 2016Article
- Simulation-Based Approaches for Determining Membrane Permeability of Small Compounds.Journal of chemical information and modeling · 2016Article
- Dividing organelle tracks into Brownian and motor-driven intervals by variational maximization of the Bayesian evidence.European biophysics journal : EBJ · 2016Article
- A Primer on the Bayesian Approach to High-Density Single-Molecule Trajectories Analysis.Biophysical journal · 2016Review
- Analysis and Interpretation of Superresolution Single-Particle Trajectories.Biophysical journal · 2015Review
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3 authors.
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Abstract
Currently used techniques for the analysis of single-molecule trajectories only exploit a small part of the available information stored in the data. Here, we apply a Bayesian inference scheme to trajectories of confined receptors that are targeted by pore-forming toxins to extract the two-dimensional confining potential that restricts the motion of the receptor. The receptor motion is modeled by the overdamped Langevin equation of motion. The method uses most of the information stored in the trajectory and converges quickly onto inferred values, while providing the uncertainty on the determined values. The inference is performed on the polynomial development of the potential and on the diffusivities that have been discretized on a mesh. Numerical simulations are used to test the scheme and quantify the convergence toward the input values for forces, potential, and diffusivity. Furthermore, we show that the technique outperforms the classical mean-square-displacement technique when forces act on confined molecules because the typical mean-square-displacement analysis does not account for them. We also show that the inferred potential better represents input potentials than the potential extracted from the position distribution based on Boltzmann statistics that assumes statistical equilibrium.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.