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This study investigates how arginine-rich peptides like R9 induce membrane curvature through molecular simulations and multiscale modeling, revealing their role in cell penetration mechanisms.

NEAT-DNA is a coarse-grained DNA model that improves physical realism and sequence specificity for large-scale simulations of genome structure.

The paper identifies SNOR, a ribosome-associated factor in S. pombe, that enables translation restart after cellular dormancy induced by glucose depletion.

The paper develops an investigator-blind analysis pipeline to identify structural elements controlling GPCR function using molecular dynamics simulations and finds known microswitches and two potential new motifs.

The paper shows that shear stress creates concentration gradients of membrane proteins in live cells, suggesting a mechanism for flow sensing.

This study shows that local anisotropic stress and cytoskeletal organization, rather than actomyosin purse-string contraction, drive cell shape and motion during hindbrain neuropore closure in mouse embryos.

This paper develops artificial and semi-artificial 3D membrane systems to study protein, lipid, and glycocalyx distribution at cell-cell interfaces, revealing differential partitioning and activation dynamics.

This study uses Coherent Raman Scattering microscopy to characterize matrix mineralization in 3D bone spheroids without labels, showing its effectiveness in detecting phosphate and collagen structures.

The paper determines the structural ensemble-to-function relations of the B2 SINE ribozyme using RNA chemical probing, X-ray scattering, and modeling, showing cleavage site dependency on its structure and function.

This study uses explainable AI to analyze the energy landscape of protein kinases, revealing that allosteric sites are in neutrally frustrated regions, explaining their detection challenges.

The paper shows that mutational robustness correlates with protein dynamics across natural and designed proteins, outperforming existing structural confidence scores.

The paper analyzes the target search process on DNA by proteins, showing that broad sliding time distributions indicate efficient search due to intermittent detachment and DNA structure.

This study compares knee joint biomechanics and dynamic stability during stair ascent using single-step and cross-step gait patterns in healthy adults, finding that cross-step reduces stability and increases joint stress.

This study uses cryo-EM to capture high-resolution structures of the KdpFABC potassium pump in E. coli during active transport, revealing lipid interactions and functional roles in potassium movement.

This paper develops a random forest-based method to segment and analyze transplanted cardiac spheroids in optically cleared myocardium, achieving accurate 3D quantification.

This study shows that cancer cells adjust their nuclear volumes and proliferation rates during transitions between single and multicellular states in tumor spheroids.

This paper introduces amyAMP, a deep learning framework that generates antimicrobial peptides with amyloid-like properties, validated through molecular dynamics simulations.

This study uses single-cell analysis to reveal cell-to-cell heterogeneity and a correlation between high-energy quenching and state transitions in Chlamydomonas reinhardtii under light stress.

This study uses blood vessel organoids to model systemic sclerosis vasculopathy and fibrosis, showing that SSc serum induces epigenetic and molecular changes linked to endothelial dysfunction and potential therapeutic targets.

This study uses molecular dynamics simulations to show that the FUS RGG3 IDR forms a dynamically organized dense phase with defined interaction motifs and multi-scale topology.