SKM 2023 – wissenschaftliches Programm

Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

BP: Fachverband Biologische Physik

BP 23: Single Molecule Biophysics

BP 23.6: Vortrag

Donnerstag, 30. März 2023, 11:00–11:15, BAR 0106

Thermodynamic inference for molecular motor models based on non-invasive conditioned waiting-time measurements — •Benjamin Ertel, Jann van der Meer, and Udo Seifert — II. Institut für Theoretische Physik, Universität Stuttgart, 70550 Stuttgart, Germany

Molecular motors are one example of biophysical systems operating far from equilibrium. For the description of their dynamics in motor-bead assays, three classes of models have been proposed. The first class, discrete Markov networks, emphasizes the configurational changes of the motor where the bead enters the transition rates. The second class of models focuses on the motion of the bead, which is described by an overdamped Langevin equation. The third class of models, hybrid motor-bead complexes, describes the full dynamics of the motor-bead assay by combining discrete and continuous models from the two previous classes. In this work, we develop a thermodynamic inference scheme that can be used to distinguish qualitatively between the different classes of models. Since this inference scheme is based on the observation of waiting times for conditioned transitions of the bead trajectory only, it is non-invasive and operationally accessible in experiments. Various characteristics of the motor, like its driving affinity, can be inferred without further information. We have obtained these results through analytical derivations and extensive numerical calculations.