Browse our latest Computational and Systems Biology articles

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    1. Neuroscience
    2. Computational and Systems Biology

    The electrogenicity of the Na+/K+-ATPase poses challenges for computation in highly active spiking cells

    Liz Weerdmeester, Jan-Hendrik Schleimer, Susanne Schreiber
    Not revised
    Reviewed Preprint v1
    • Valuable
    • Solid
    1. Computational and Systems Biology
    2. Genetics and Genomics

    Risk factors affecting polygenic score performance across diverse cohorts

    Daniel Hui, Scott Dudek ... Marylyn D Ritchie
    Numerous related sample characteristics affect polygenic score performance, and incorporation of interaction effects increases both model and polygenic score performance.
    1. Immunology and Inflammation
    2. Computational and Systems Biology

    PAbFold: Linear Antibody Epitope Prediction using AlphaFold2

    Jacob DeRoo, James S Terry ... Brian J Geiss
    Revised
    Reviewed Preprint v2
    Updated
    • Useful
    • Incomplete
    1. Computational and Systems Biology
    2. Physics of Living Systems

    How cancer-associated fibroblasts promote T-cell exclusion in human lung tumors: a physical perspective

    Joseph Ackermann, Chiara Bernard ... Martine Ben Amar
    Revised
    Reviewed Preprint v2
    Updated
    • Valuable
    • Convincing
    1. Computational and Systems Biology
    2. Neuroscience

    Multisensory integration operates on correlated input from unimodal transient channels

    Cesare V Parise, Marc O Ernst
    Psychophysical experiments and computational modeling demonstrate the importance of transient, instead of sustained, channels for the integration of audiovisual signals.
    1. Neuroscience
    2. Computational and Systems Biology

    Self-other generalisation shapes social interaction and is disrupted in borderline personality disorder

    Joseph M Barnby, Jen Nguyen ... Peter Fonagy
    Not revised
    Reviewed Preprint v1
    • Important
    • Convincing
    1. Computational and Systems Biology

    CausalXtract, a flexible pipeline to extract causal effects from live-cell time-lapse imaging data

    Franck Simon, Maria Colomba Comes ... Herve Isambert
    CausalXtract is a computational tool to discover causal effects, beyond classical Granger and Schreiber causality approaches, from live-cell imaging data for a range of fundamental and translational research applications.
    1. Cell Biology
    2. Computational and Systems Biology

    Unbiased identification of cell identity in dense mixed neural cultures

    Sarah De Beuckeleer, Tim Van De Looverbosch ... Winnok H De Vos
    Morphological profiling allows accurate identification of cell types in dense iPSC-derived cultures, allowing its use for quality control and differentiation monitoring.
    1. Computational and Systems Biology
    2. Structural Biology and Molecular Biophysics

    Discovery of a heparan sulfate binding domain in monkeypox virus H3 as an anti-poxviral drug target combining AI and MD simulations

    Bin Zheng, Meimei Duan ... Peng Zheng
    The identification of a conserved α-helical domain in monkeypox virus H3 protein as critical for heparan sulfate binding unveils a novel therapeutic target, validated through AI and molecular dynamics simulations, offering potential for broad-spectrum antiviral development.
    1. Computational and Systems Biology

    AI-driven automated discovery tools reveal diverse behavioral competencies of biological networks

    Mayalen Etcheverry, Clément Moulin-Frier ... Michael Levin
    A novel methodology, using diversity search AI algorithms, for exploring the space of possible behaviors of gene regulatory networks, from the perspective of generic problem-solving agents navigating their environment.
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