Discover, rate, and discuss biology preprints.

This paper shows tidal-flat diatoms form active nematic circuits that integrate trigger waves and structural memory to enable adaptive, time-programmable behavior.

This paper introduces a physics-based framework for enzyme engineering that combines machine learning and molecular mechanics to predict catalytic rates and selectivity with high accuracy.

This study demonstrates direct mechanical interactions between single actin and vimentin filaments, independent of crosslinking proteins, and quantifies the interaction forces.

This study shows SF1 helicase Rep translocates processively on ssDNA and, unexpectedly, also on dsDNA, with high speed and processivity, challenging existing models of helicase function.

This paper introduces PFO nanopores for label-free, single-particle analysis of large biomolecules, enabling characterization of virus particles and ribosomes.

The paper explores exploratory dynamics in biological processes, proposing mathematical frameworks like geometric distribution and random walks with resets to model search processes and their outcomes.

The paper models sperm flagella as elastic filaments in viscous fluid, showing self-buckling generates double waves through nonlinear interactions.

This study directly observes and quantifies the self-assembly of virus-like particles using mass photometry and single-molecule trapping, revealing the role of multivalent interactions and first-passage dynamics in achieving specific assembly.

The paper uses single-molecule techniques to reveal two distinct myosin cycles with different kinetics and stroke sizes affected by mavacamten and omecamtiv mecarbil.

This study shows that longer equilibration times in umbrella sampling can alter free energy landscapes and reduce agreement with experimental data for RNA hairpin folding.

HaloUMI provides an automated tool for analyzing microbial inhibition assays, improving accuracy by accounting for irregular zones and varying microbial density.

The paper develops bond graph models of Na+/K+-ATPase to analyze its energetic efficiency, showing 78% efficiency with 66% energy stored in ion gradients under physiological conditions.

The paper demonstrates that using an empirically measured blank spectrum improves the accuracy of quantitative X-ray fluorescence mapping by reducing dependencies on dwell time and spectral aggregation.

The paper develops a coarse-grained DNA model compatible with the Martini 3 force field, enabling simulations of DNA in diverse molecular systems.

The paper identifies an osmo-hydraulic volume-regulation mechanism in haemogenic endothelial cells during endothelial-to-haematopoietic transition, showing it maintains cell integrity and HSPC production.

This study identifies and characterizes human monoclonal antibodies targeting conserved coronavirus spike S2 epitopes, revealing distinct antiviral functions and Fc-dependent protective mechanisms.

The paper shows that ether linkages in phospholipids modulate membrane mechanics and topology through distinct physical mechanisms, explaining their evolutionary conservation and biological roles.

G-screen provides a scalable virtual screening method that combines flexible ligand alignment with protein-aware pharmacophore analysis to efficiently filter large chemical libraries.

This study shows how motor activity enables cytoskeletal structures to adapt mechanically, transforming from contractile to extensile states under tension.

This study investigates how different tubulin CTT isotypes influence katanin structure and dynamics, revealing that inhibitory CTTs enhance pore narrowing and flexibility, while non-inhibitory CTTs disrupt coordination.