Browse our latest Computational and Systems Biology articles

Page 49 of 129
    1. Computational and Systems Biology
    2. Neuroscience

    The interpretation of computational model parameters depends on the context

    Maria Katharina Eckstein, Sarah L Master ... Anne GE Collins
    Context factors such as experimental task and model parameterization can significantly impact modeling results, such that across tasks, the same participants show different fitted parameter values, and parameters capture different cognitive processes across tasks.
    1. Computational and Systems Biology
    2. Immunology and Inflammation

    Delineating the transcriptional landscape and clonal diversity of virus-specific CD4+ T cells during chronic viral infection

    Ryan Zander, Achia Khatun ... Weiguo Cui
    CD4+ T cells responding to chronic lymphocytic choriomeningitis virus infection display transcriptional heterogeneity that is marked by both lineage-specific gene expression profiles and core gene expression programs that are upregulated and conserved across multiple distinct populations of T helper cells.
    1. Computational and Systems Biology
    2. Neuroscience

    Olfactory responses of Drosophila are encoded in the organization of projection neurons

    Kiri Choi, Won Kyu Kim, Changbong Hyeon
    The organization of olfactory projection neurons and their synaptic connectivity with third-order neurons studied along with olfactory responses suggest that the labeled-line design is partially at work in the Drosophila olfactory system.
    1. Biochemistry and Chemical Biology
    2. Computational and Systems Biology

    Excitatory and inhibitory D-serine binding to the NMDA receptor

    Remy A Yovanno, Tsung Han Chou ... Albert Y Lau
    Molecular dynamics simulations reveal that D-serine competes with glutamate for binding to the NMDA receptor, a finding supported by electrophysiology experiments with consequences for D-serine-focused therapeutic strategies for myriad neurological disorders.
    1. Computational and Systems Biology
    2. Neuroscience

    CompoundRay, an open-source tool for high-speed and high-fidelity rendering of compound eyes

    Blayze Millward, Steve Maddock, Michael Mangan
    Rendering compound vision at high speed with high precision, enabling rapid, data-driven exploration of the compound eye design space.
    1. Cancer Biology
    2. Computational and Systems Biology

    Comprehensive machine-learning survival framework develops a consensus model in large-scale multicenter cohorts for pancreatic cancer

    Libo Wang, Zaoqu Liu ... Yu-ling Sun
    AIDPS derived by 76 machine-learning algorithm combinations in 13 independent multicenter cohorts exhibited superior capability than clinical traits and 86 published prognostic signatures and could serve as an ideal biomarker for stratified management and individualized treatment of pancreatic cancer.
    1. Cancer Biology
    2. Computational and Systems Biology

    Machine learning-assisted elucidation of CD81–CD44 interactions in promoting cancer stemness and extracellular vesicle integrity

    Erika K Ramos, Chia-Feng Tsai ... Huiping Liu
    Machine learning-assisted experiments reveal CD81 as a novel binding partner of CD44 in driving cancer stemness, tumor cell clustering, and extracellular vesicle integrity in human and mouse breast cancer.
    1. Cell Biology
    2. Computational and Systems Biology

    Age-dependent aggregation of ribosomal RNA-binding proteins links deterioration in chromatin stability with challenges to proteostasis

    Julie Paxman, Zhen Zhou ... Nan Hao
    The interaction between rDNA instability and proteostasis stress, two major aging hallmarks, underlies single-cell aging trajectories in yeast.
    1. Computational and Systems Biology
    2. Medicine

    Spatial modeling reveals nuclear phosphorylation and subcellular shuttling of YAP upon drug-induced liver injury

    Lilija Wehling, Liam Keegan ... Kai Breuhahn
    Nuclear phosphorylation differentially controls the activity of Hippo pathways effectors YAP and TAZ via distinct molecular mechanisms under physiological and tissue damage conditions.
    1. Computational and Systems Biology

    Empirical single-cell tracking and cell-fate simulation reveal dual roles of p53 in tumor suppression

    Ann Rancourt, Sachiko Sato, Masahiko S Satoh
    Single-cell tracking and cell-fate simulation suggest that low levels of p53 suppress aneuploid cell formation in unstressed cells and also reveal the dual fate of cells lacking p53 in the presence of p53-proficient cells.