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This study uses molecular dynamics simulations to investigate how cholesterol affects planar and curved lipid bilayers, revealing geometry-dependent structural and dynamic changes.

The paper improves single-molecule localization microscopy by extending temporal context using a hybrid U-Net and Transformer model, achieving better resolution than existing methods.

The paper shows how peptide backbones enhance pairwise interactions in dilute phases but weaken them in dense phases, enabling percolation in peptide-based mimics of protein condensates.

DeepCryoRNA is a deep learning method for reconstructing RNA 3D structures from cryo-EM maps, showing higher accuracy than existing methods on a benchmark dataset.

This paper introduces a Bayesian method to estimate the number of fluorescent emitters in diffraction-limited spots, showing improved accuracy over existing methods.

The paper investigates how weak magnetic fields and isotopes affect microtubule polymerization, finding a nuclear spin-driven isotope effect enhanced by magnetic fields.

This study uses CFD simulations to link nasal cavity structure with ENS severity by analyzing anatomical and aerodynamic parameters against ENS6Q scores.

This paper introduces a DNA origami-based signal amplification method for lateral flow immunoassays, significantly improving sensitivity for cardiac troponin I detection in human serum.

The paper estimates bulk fluid flow velocities in cortical brain tissue using computational simulations, finding that both filtration and pulsations can drive fluid flow.

This paper develops a DNA origami rotary motor that can perform multiple revolutions and recover from operational errors using microfluidic control and high-resolution imaging.

This study uses cryo-EM to visualize how SNF2H, a chromatin remodeler, translocates DNA around the histone octamer by inducing conformational changes.

The paper develops a 4D Maximum Entropy model to analyze time-course Hi-C data and reveals dynamic chromosome organization in Caulobacter crescentus during replication.

This paper provides a practical guide for Single-Particle Tracking in live-cell imaging, covering sample preparation, microscope settings, and analysis software comparison.

This study develops a mechanistic model to explain electrotaxis by showing how charged membrane receptors polarize and control actomyosin dynamics across cell types.

This study measures neuromechanical phase lags in C. elegans and shows they are controlled by body elasticity and environmental forces, shaping gait.

This study uses molecular dynamics simulations to show that specific THz frequencies enhance conductance of Kv1.2 and Nav1.5 ion channels by affecting ion motion in selectivity filters.

This paper uses computational methods to model how nitazene derivatives bind to the mu-opioid receptor, identifying key binding modes and interactions.

This paper uses molecular dynamics simulations to study temperature effects on conformational stability and order of unliganded adenine riboswitch conformations, finding that apoA is more stable at 293K and 303K but less stable at 323K.

This study uses molecular dynamics simulations to show how calcium ions influence the formation of hetero- and homotrimers of type I collagen, explaining the conditions under which homotrimers form.

The paper develops and validates coarse-grained models of enzymes using a top-down approach, showing agreement between simulated and experimental structural measures.