1,314 results found
    1. Neuroscience

    A mathematical model explains saturating axon guidance responses to molecular gradients

    Huyen Nguyen et al.
    Mathematical modelling explains why molecular gradients sometimes cause axons to only turn weakly.
    1. Computational and Systems Biology
    2. Neuroscience

    Training deep neural density estimators to identify mechanistic models of neural dynamics

    Pedro J Gonçalves et al.
    Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.
    1. Ecology
    2. Evolutionary Biology

    The evolution of non-reproductive workers in insect colonies with haplodiploid genetics

    Jason W Olejarz et al.
    A mathematical model predicts the precise conditions for natural selection to favor the evolution of non-reproductive workers in insect colonies with haplodiploid genetics.
    1. Computational and Systems Biology
    2. Evolutionary Biology

    Repeated outbreaks drive the evolution of bacteriophage communication

    Hilje M Doekes et al.
    Mathematical modelling suggests that the evolution of communication between bacterial viruses requires repeated outbreak events, and the model then predicts typical communication strategies.
    1. Computational and Systems Biology
    2. Developmental Biology

    A quantitative modelling approach to zebrafish pigment pattern formation

    Jennifer P Owen et al.
    A mathematical modelling approach to understanding zebrafish stripe pattern formation exemplifies a biological rule-set sufficient to generate wild-type and a diverse range of mutant patterns.
    1. Immunology and Inflammation

    Optogenetic control shows that kinetic proofreading regulates the activity of the T cell receptor

    O Sascha Yousefi et al.
    Controlling the duration of ligand binding to the T cell receptor by light shows that T cells discriminate stimulatory from non-stimulatory ligands by measuring the dynamics of ligand binding.
    1. Computational and Systems Biology
    2. Chromosomes and Gene Expression

    Stochastic modelling, Bayesian inference, and new in vivo measurements elucidate the debated mtDNA bottleneck mechanism

    Iain G Johnston et al.
    New modelling, statistics, and experiments show that cellular populations of mitochondrial DNA (mtDNA) evolve during development according to solvable stochastic dynamics involving binomial partitioning and random turnover, facilitating a predictive and quantitative theory of the mtDNA bottleneck.
    1. Epidemiology and Global Health

    Modelling the contribution of the hypnozoite reservoir to Plasmodium vivax transmission

    Michael T White et al.
    Mathematical models of the build-up and depletion of the hypnozoite reservoir in the liver can inform the design of treatment strategies for preventing Plasmodium vivax relapse infections.
    1. Computational and Systems Biology
    2. Microbiology and Infectious Disease

    Cell-to-cell infection by HIV contributes over half of virus infection

    Shingo Iwami et al.
    The human immunodeficiency virus HIV-1 primarily spreads between cells using a method called cell-to-cell infection, suggesting that this process may be a target for anti-viral drugs.
    1. Computational and Systems Biology
    2. Developmental Biology

    Systems biology derived source-sink mechanism of BMP gradient formation

    Joseph Zinski et al.
    Embryo-wide quantitative analysis of BMP signaling in zebrafish embryos, combined with a mathematical model-based computational screen, challenges the prevailing model of an antagonist counter-gradient shaping the gastrula BMP morphogen gradient and supports an antagonist sink with BMP diffusion mechanism.

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