Kim Sneppen

This study develops a stochastic model to analyze how tail fiber configuration affects bacteriophage adsorption efficiency, finding an optimal number of fibers balancing binding stability and mobility.

The paper shows that survivorship bias, not biological changes, explains age-dependent extinction patterns in fossil genera using a one-parameter model.

The paper introduces LEAP, a mathematical model of respiratory viral infection that captures local plaque growth and long-range seeding, showing that few long-range events are needed for viral spread and that interferon has limited impact on growth in well-adapted viruses.

The paper shows that δ-cell interactions modulate pancreatic islet Ca2+ oscillation patterns through somatostatin secretion and pharmacological/optogenetic perturbations, revealing a Hopf bifurcation mechanism.

This study models stochasticity in viral release and IFN response to show how timing variability affects early infection dynamics, finding asymmetrical impacts on virus expansion and host containment.

The paper presents a simplified model to study microbial community assembly and stability, showing rich dynamics despite its basic assumptions.

The paper measures how host metabolic state affects viral adsorption rates and shows that energy-limited conditions reduce infection commitment for some phages.

The paper models phage-bacteria coexistence in microcolonies, showing that external bacterial influx affects colony size distribution and steady-state dynamics.

This study investigates how temperate phages balance lysogeny and lytic cycles in competitive environments, finding that stable lysogens outcompete others and that dispersal between fluctuating sub-systems reduces their survival against virulent phages.

The paper models SARS-CoV-2 infection spread using a cellular automaton, showing that heterogeneity in infections arises from sensitivity near a critical threshold and that few IFN-primed cells can limit viral proliferation.

The paper analyzes confinement mechanisms for epigenetic modifications of nucleosomes using stochastic dynamic models and finds that intermediate states and long-range negative feedback enhance robustness and confinement.

The paper shows that pancreatic α and β cells exhibit globally phase-locked Ca2+ oscillations with tunable phase shifts that set islet oscillation patterns.

The paper models the NANOG-GATA6-FGF4 network to show how ICM cells can be partitioned into EPI and PE through transient synchronization and FGF4 signaling.

The paper challenges the two-step model of tube formation by showing that either cell intercalation or wedging alone can suffice for the sheet-to-tube transition, supported by simulations of Drosophila, Sea urchin, and mammalian systems.

The paper models diversity waves in ecosystems caused by population collapses, showing cyclic patterns and a scale-free distribution with a universal exponent.