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The paper introduces a training-free method for particle picking and centering in cryo-EM by using a radial kernel convolution, achieving comparable reconstruction resolutions to reference-based methods.

This paper develops a scalable, thermodynamically reversible stochastic operator for macromolecular dynamics, showing universal reduction laws and improved performance over existing methods.

This study shows that IFI16 filament assembly provides mechanical stability to condensates by compacting DNA into ultra-stable tangles, contrasting with the sensitivity of HIN200-dsDNA complexes.

This study uses molecular dynamics simulations to show serotonin induces lipidomic reorganization in the brain plasma membrane, altering Y4R communication pathways and activation.

This paper uses global optimization to infer scaling laws of branching networks from their geometry, revealing type-specific signatures and outperforming existing laws in vascular systems.

This paper uses single molecule tracking to study how p40Phox PX domain and VPS34 Complex 1 move across lipid bilayers, revealing electrostatic hopping and docking mechanisms.

The paper investigates how bottom-heaviness in pelagic fish eggs affects their motion in fluid flows, showing that it generates relative motion and enhances transport beyond diffusion.

This paper develops 3D printed EPR sample tubes with complex cross-sections to enhance signal sensitivity in aqueous samples, validated through simulations and experiments.

This paper introduces an end-to-end reconstruction algorithm for cryo-ptycho single-particle analysis, achieving better resolution than sequential methods on simulated data and some experimental datasets.

This paper introduces ramped phase randomization to improve cryo-EM map comparison and data augmentation by reducing fine-scale detail while preserving low-frequency content and enhancing machine learning performance.

This paper introduces a microbead-based heterodimer assay for direct, amplification-free detection of single-stranded DNA targets at low concentrations.

The paper shows that growth-mediated compressive stresses drive millimeter-scale gap closure in MEC1 cells, with fluid-like tissue remodeling enhancing collective closure.

This paper develops a mathematical model linking SAA-HDL binding dynamics to renal amyloidosis progression, showing how inflammation patterns and SAA levels affect disease outcomes.

The paper investigates whether laminin-derived peptides bind to the VEGF-A165 binding pocket of NRP-1 using computational and experimental methods, finding that peptide 1 has the highest binding occupancy.

The paper examines how the geometry of the FMN pocket in mitochondrial complex I influences spin responses and singlet yields under varying conditions.

This paper develops an elasticity framework to quantify how force-velocity relationship variables affect jump height and provides metrics for training prescription.

The paper models spin chemistry in mitochondrial Complex I's flavin radical pair, showing kinetic gating by iron sulfur clusters affects singlet yield and spin coherence.

This study examines how desmin mutations affect filament assembly and aggregation, finding that specific mutations disrupt filament maturation and lead to distinct aggregation pathways.

The paper reports cryo-EM structures of YsaN ATPase in dodecameric and tetradecameric states, revealing structural dynamics and mechanisms of oligomer assembly and function in the T3SS.

PHENOMS analyzes hydrogen-bond networks in molecular dynamics simulations using Rust-accelerated code, achieving significant speedup over Python-based tools and demonstrating its utility with HDX-MS data.