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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.

This paper introduces TomoFLIM, a high-speed multiphoton FLIM technique that enables rapid, accurate imaging of dynamic biological processes with compression ratios over 90%.

QuantiTrack, a MATLAB GUI, unifies single-molecule detection, tracking, quality control and mobility analyses; for glucocorticoid receptor, hormone washout cut bound fraction, dwell times and low-mobility occupancy.

This study introduces a deep learning model to analyze conformational transitions in cyclic peptides, revealing key residues and nonlinear torsional motions that govern structural changes.

This study uses molecular dynamics and cryo-ET to show histone tails drive chromatin compaction through specific interactions, revealing their role in both structural organization and nucleosome communication.

The paper uses dynamic mode decomposition to analyze live-cell imaging data and investigates KIF13B's role in ciliary transport, finding it does not affect IFT velocity or frequency in a deletion mutant.

This paper introduces a model called iConDNA to simulate DNA phase separation, capturing structural features and thermodynamic properties of DNA homopolymers and duplexes.

This paper optimizes force fields for simulating disordered proteins and condensates using osmometry data, improving agreement with experimental measurements.