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The paper develops a model to explain how chromatin compaction and structural plasticity are balanced by the valency of protein complexes.

The paper shows that lipid-anchored proteins on COS-7 cells form reversible concentration gradients under shear stress, suggesting passive flow transport as a mechanism for membrane protein organization.

This study shows tau protein binds DNA, forms condensates, and localizes to centromeres, suggesting a new role in mitosis and cell division.

This study identifies three binding sites of a small molecule activator on Neurolysin using MD simulations and Markov state modeling, revealing how these sites modulate conformational dynamics and catalytic activity.

This study identifies a topologically misfolded form of E. coli phosphoglycerate kinase that is more stable than its native state and resists denaturation.

The paper develops a bilayer continuum model to predict how lipid composition affects protein curvature sensing in membranes.

This paper develops a biologically constrained spiking neural network to model neuromodulation effects on locomotor recovery after spinal cord injury, finding that reducing GABAergic inhibition improves movement coordination.

This paper compares sequence-based and structure-based methods for predicting allosteric binding sites in protein kinases, finding that sequence-based models perform poorly on allosteric sites despite good performance on orthosteric ones.

This study generates the first wild-type full-length p53 tetramer model bound to DNA and analyzes its conformational dynamics and mutations in cancer mutants.

This study introduces NapshiftC, a neural network that uses NMR chemical shifts to improve coarse-grained simulations of intrinsically disordered proteins by incorporating secondary structure.

This paper reports high-resolution structures of kinesin-14 motor proteins during different mechanochemical states, revealing structural transitions that drive force generation and the power stroke.

The paper introduces CRISPRzip, a mechanistic model that predicts CRISPR-Cas9 activity based on sequence and context, validated by experimental data.

This study investigates the R196H mutation in β-actin, showing it reduces F-actin content and cell stiffness, weakens actin-membrane attachment, and impairs cofilin interaction.

This study uses MD simulations to show that Class B1 GPCRs share a common activation mechanism involving an intermediate state with outward movement of helix 6, but exhibit clade-specific residue-level differences.

This paper investigates AbpX, a microbial biomatrix protein that forms thermostable hydrogels through calcium ion-dependent self-assembly and provides an atomic model of its fibril lattice.

The paper visualizes crowding-induced membrane condensation and reorganization using nanodiscs, showing surface-density-driven effects on lipid mobility and diffusion barriers.

The paper reports the cryo-EM structure of the human P2X3 receptor complexed with sivopixant, revealing subtype-specific allosteric inhibition mechanisms and structural basis for improved selectivity.

This study shows how the porous structure of the extracellular matrix influences cell migration through geometric effects, introducing the concept of porotaxis.

This study predicts antibody Fab thermostability using sequence-only machine learning with IgBERT embeddings, achieving a PCC of 0.77 on internal data and 0.28 on clinical-stage therapeutics.

The paper shows that membrane prewetting enhances biopolymer condensation by lipid composition, observed in simulations, reconstitution, and cells.