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20232026
most citedNanoscopic Interfacial Hydrogel Viscoelasticity Revealed from Comparison of Macroscopic and Microscopic Rheology

19 citations · 80 across the 30 of their papers we have counts for

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6 papers · 1 filter

physics.bio-ph2026

Memory-resolved prediction of ligand residence times on the minutes timescale

Hossein Batebi, Lucas Tepper, Roland R. Netz

AI-enabled computational drug discovery is advancing rapidly in predicting molecular structures, binding poses and affinities, but ligand dissociation kinetics remain harder to acc…

physics.bio-ph2026

Reaction-Coordinate-Dependent Non-Markovian Friction Governs Protein-Folding Dynamics

Lucas Tepper, Benjamin J. A. Héry, Cihan Ayaz +4

It is common to project the full atomic-resolution representation of a protein onto a one-dimensionalreaction coordinate (RC) to capture the protein-folding kinetics. As a direct c…

physics.bio-ph2026★ 1 cited

Non-Markovian non-equilibrium modeling of experimental cell-motion trajectories reveals dependence of propulsion-force correlations on solvent viscosity

Anton Klimek, Prince V. Baruah, Prerna Sharma +1

Cell motility underlies many biological processes, including cancer metastasis, bacterial infection, and evolutionary adaptation. We introduce a non-equilibrium single-cell motilit…

physics.bio-ph2024★ 5 cited

Intrinsic cell-to-cell variance from experimental single-cell motility data

Anton Klimek, Johannes C. J. Heyn, Debasmita Mondal +5

When analyzing the individual positional dynamics of an ensemble of moving objects, the extracted parameters that characterize the motion of individual objects, such as the mean-sq…

physics.bio-ph2024★ 1 cited

pH modulates friction memory effects in protein folding

Benjamin A. Dalton, Roland R. Netz

We study the non-Markovian folding dynamics of the 3D protein under low- and neutral-pH conditions. Recently published all-atom simulations of 3D by the Shaw group reveal tha…

physics.bio-ph2023★ 18 cited

Data-driven classification of individual cells by their non-Markovian motion

Anton Klimek, Debasmita Mondal, Stephan Block +2

We present a method to differentiate organisms solely by their motion based on the generalized Langevin equation (GLE) and use it to distinguish two different swimming modes of str…