Browse our Research Articles

Exatrack is a framework for analyzing Brownian, directed, and confined motion using a hidden-variable probabilistic model to extract physical insight into particle diffusion.

Factoring out nucleotide-level mutation biases from antibody language models dramatically improves prediction of functional mutation effects while reducing computational cost by orders of magnitude.

Dysregulated exocytosis of bis(monoacylglycerol)phosphate (BMP)-enriched extracellular vesicles driven by pathogenic LRRK2 activity supports elevated urinary BMP levels and its use as a biomarker for Parkinson's disease.

Peptidoglycan recycling is essential for proper cell growth and intrinsic ampicillin resistance in Caulobacter crescentus, highlighting PG recycling enzymes as potential antibacterial targets.

A fully automated 3D tracking framework reveals that sex and familiarity strongly shape natural social gaze dynamics in freely interacting marmosets.

A hierarchical framework integrating artificial intelligence with chemical principles enables the conversion of fragile α-helices into ultrastable protein scaffolds.

A specialized window-of-implantation endometrial assembloid enables investigation of human endometrial receptivity and maternal-fetal interaction.

Adolescents value reciprocity less than adults, limiting cooperation despite intact learning about others’ behavior.

Mycobacterium tuberculosis deploys nucleomodulins to suppress COMPASS-dependent H3K4 methylation, dampening pro-inflammatory gene expression to enhance intracellular survival and uncovering an epigenetic immune-evasion strategy.

Strategic avoidance of uncertainty emerges under high cognitive demands, enabling faster decisions without impairing learning.