Simulation-based inference for non-parametric statistical comparison of biomolecule dynamics.

ABSTRACT: Numerous models have been developed to account for the complex properties of the random walks of biomolecules. However, when analysing experimental data, conditions are rarely met to ensure model identification. The dynamics may simultaneously be influenced by spatial and temporal heterogeneities of the environment, out-of-equilibrium fluxes and conformal changes of the tracked molecules. Recorded trajectories are often too short to reliably discern such multi-scale dynamics, which precludes unambiguous assessment of the type of random walk and its parameters. Furthermore, the motion of biomolecules may not be well described by a single, canonical random walk model. Here, we develop a two-step statistical testing scheme for comparing biomolecule dynamics observed in different experimental

SUBMITTER: Verdier H 

PROVIDER: S-EPMC9928078 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature