Browse our latest Computational and Systems Biology articles

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    1. Computational and Systems Biology

    Patient-specific Boolean models of signalling networks guide personalised treatments

    Arnau Montagud et al.
    Tailoring Boolean models to 488 prostate cancer patients and 8 cell lines data allows for the experimentally validated personalisation of drug treatments.
    1. Cancer Biology
    2. Computational and Systems Biology

    Aspirin’s effect on kinetic parameters of cells contributes to its role in reducing incidence of advanced colorectal adenomas, shown by a multiscale computational study

    Yifan Wang et al.
    A mathematical model of colorectal cancer initiation shows that a change in cells’ kinetic parameters due to aspirin can account for an observed reduction in advanced adenoma age- incidence in patients treated with aspirin.
    1. Computational and Systems Biology
    2. Neuroscience

    Strategy-dependent effects of working-memory limitations on human perceptual decision-making

    Kyra Schapiro et al.
    Computed decisions degrade in working memory in a manner that depends on one of two strategies used to store relevant information as revealed by mathematical analysis of behavioral response patterns.
    1. Computational and Systems Biology

    Common coupling map advances GPCR-G protein selectivity

    Alexander S Hauser et al.
    The GPCR-G protein coupling map and selectivity insights will catalyze advances in receptor research, cellular signaling, and drug discovery exploiting G protein signaling bias to design safer drugs.
    1. Computational and Systems Biology
    2. Genetics and Genomics

    A conditional gene-based association framework integrating isoform-level eQTL data reveals new susceptibility genes for schizophrenia

    Xiangyi Li et al.
    An improved conditional gene-based association analysis framework guided by multiple variant-gene mapping strategies was built and evaluated based on its performance in predicting the potential susceptibility isoforms, genes, and tissues of schizophrenia.
    1. Computational and Systems Biology
    2. Neuroscience

    Mapping circuit dynamics during function and dysfunction

    Srinivas Gorur-Shandilya et al.
    Mapping spike patterns from a small identified circuit reveals the diversity and complexity of circuit dynamics across animals and in response to perturbations.
    1. Computational and Systems Biology

    Modular, robust, and extendible multicellular circuit design in yeast

    Alberto Carignano et al.
    Multicellular systems exhibiting a wide variety of behaviors, including logic gates, band-pass filtering, and bistability, are constructed from a fixed vocabulary of input-output strains through model-guided design demonstrating predictable composability, tunability, and extendability.
    1. Computational and Systems Biology

    Automated, high-dimensional evaluation of physiological aging and resilience in outbred mice

    Zhenghao Chen et al.
    A non-invasive animal monitoring system paired with a custom analysis pipeline allows organism-level aging to be studied with improved throughput, resolution, and physiological scope while reducing the activation energy that comes with highly specialized challenge-based procedures.
    1. Chromosomes and Gene Expression
    2. Computational and Systems Biology

    Robust and annotation-free analysis of alternative splicing across diverse cell types in mice

    Gonzalo Benegas et al.
    A robust computational pipeline for alternative splicing analysis is developed and applied to large-scale cell atlases, overcoming technical challenges and making results available for the scientific community to explore via public interactive browsers.
    1. Computational and Systems Biology
    2. Neuroscience

    An incentive circuit for memory dynamics in the mushroom body of Drosophila melanogaster

    Evripidis Gkanias et al.
    Modelling differential roles for identified dopaminergic and output neurons of the fruit fly mushroom bodies, combined with a novel dopaminergic plasticity rule, explains neural and behavioural phenomena in olfactory learning tasks.
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