Browse our latest research

Page 32 of 1,795
    1. Microbiology and Infectious Disease

    The Mac1 ADP-ribosylhydrolase is a Therapeutic Target for SARS-CoV-2

    Rahul K Suryawanshi, Priyadarshini Jaishankar ... James S Fraser
    Revised
    Reviewed Preprint v2
    Updated
    • Important
    • Compelling
    1. Neuroscience
    2. Computational and Systems Biology

    Comparing the outputs of intramural and extramural grants funded by National Institutes of Health

    Xiang Zheng, Qiyao Yang ... B Ian Hutchins
    Not revised
    Reviewed Preprint v1
    • Important
    • Solid
    1. Developmental Biology

    A tissue boundary orchestrates the segregation of inner ear sensory organs

    Ziqi Chen, Magdalena Żak ... Nicolas Daudet
    Revised
    Reviewed Preprint v2
    Updated
    • Important
    • Solid
    1. Neuroscience

    Fitting bifurcation structure, not voltage traces: A biophysically inspired derivation of reduced neuron models exemplified by potassium dynamics

    Louisiane Lemaire, Mahraz Behbood ... Susanne Schreiber
    Not revised
    Reviewed Preprint v1
    • Useful
    • Convincing
    1. Immunology and Inflammation

    A co-evolutionary perspective on humans and Mycobacterium tuberculosis in the era of systems biology

    Michaela Reichmann, Liku B Tezera ... Paul Elkington
    Not revised
    Reviewed Preprint v1
    1. Epidemiology and Global Health
    2. Computational and Systems Biology

    Refining uncertainty about the TAK-003 dengue vaccine with a multi-level model of clinical efficacy trial data

    Manar Alkuzweny, Guido España, T Alex Perkins
    Not revised
    Reviewed Preprint v1
    • Important
    • Convincing
    1. Neuroscience

    Two time scales of adaptation in human learning rates

    Jonas Simoens, Senne Braem ... Tom Verguts
    Not revised
    Reviewed Preprint v1
    • Valuable
    • Solid
    1. Neuroscience

    Age-related changes in ‘cortical’ 1/f dynamics are linked to cardiac activity

    Fabian Schmidt, Sarah K Danböck ... Nathan Weisz
    Age-related differences in cortical aperiodic signals can be driven by cardiac influences, emphasizing the need to control for cardiac contributions in studies interpreting cortically measured aperiodic dynamics.