Gut environmental fluctuations drive cycles of bacterial loss and regrowth, causing population bottlenecks, accelerating microbial evolution, and impacting host-microbe interactions.

By applying stochastic process inference, this study quantifies cell-specific motility traits and disentangles biological variability from noise, uncovering phenotypic diversity in genetically uniform algae and breast cancer cells.

Electrical circuit principles can be applied to model and understand bacterial growth and metabolism—discover how in this tutorial introducing the “Ohmics” framework.

Mechanical forces from the environment shape how muscle activation translates into movement in C. elegans, revealing that passive mechanics can tune gait through phase lag and wavelength modulation.

A stochastic mean-field model shows how active cell rearrangements drive tissue flow, explaining why active plastic flow self-limits and how external cues, like cell polarity, can sustain directed large-scale morphogenetic movements.

EMPOT uses unbalanced optimal transport to compute rigid-body transformations and align density maps, an essential step for comparing protein structures solved by cryo-EM, which outperforms existing methods in both map registration and model fitting for partial overlaps.

A mathematical framework inspired by quantum field theory models chemical systems that involve the formation and dissolution of large molecular complexes.

Singular Angle Similarity measures the similarity of real, arbitrary matrices by taking into account their two-dimensional structure, outperforming standard methods like cosine similarity or Frobenius norm in detecting shared patterns in synthetic and brain networks.

Frozen stabilization enables small unstructured neural networks to form robust continuous memories and exhibit separation of timescales without fine-tuning or symmetries.

Fluid inside Drosophila oocytes spontaneously forms a vortex that spins around the cell’s long axis. Both simulations and 3D imaging show that this direction is determined by the cell’s shape.

A low-rank decomposition of the connectivity matrix reveals how local motifs—such as chain motifs—govern dynamics in excitatory-inhibitory networks, with implications for interpreting optogenetic experiments.

DPCstruct is a fast, unsupervised method that clusters AlphaFold2-predicted protein structures into recurring domains, enabling large-scale protein domain annotation.

Integrating surface plasmon resonance with squeezed quantum light enhances real-time detection of protein binding kinetics, with greater sensitivity and less noise in molecular-level biosensing.

Viruses evading immunity through antigenic escape thrive at moderate levels of host mobility, which allow variants to spread locally while avoiding the saturation effects of low mobility and the competitive pressures of high mobility.

Gut environmental fluctuations drive cycles of bacterial loss and regrowth, causing population bottlenecks, accelerating microbial evolution, and impacting host-microbe interactions.

By integrating experimental data, this diffusion-based model guides the generation of protein ensembles and outperforms traditional structure-based approaches in producing realistic, functional conformations—particularly for flexible and intrinsically disordered proteins.

Sample-sample correlations in large data, e.g. natural images, are described by a generative model that introduces statistically dependent mixing of latent features.

By applying stochastic process inference, this study quantifies cell-specific motility traits and disentangles biological variability from noise, uncovering phenotypic diversity in genetically uniform algae and breast cancer cells.

Structural heterogeneity reduces memory capacity in neural networks, but specific patterns of connectivity and coding levels can restore and maximize performance, echoing memory organization in the hippocampus.

Nanodomains in E. coli cell membranes can signal early signs of antimicrobial resistance, enabling a faster approach to track how bacterial cells evolve under antibiotic stress.

Extending persistence modeling to drug-induced, dose-dependent cancer persistence reveals that strategic drug holidays and reduced doses can improve long-term treatment outcomes.

Spectral analysis of abundance dynamics in microbial communities reveals resource competition and uncovers phylogenetically driven interactions in marine plankton communities.