Browse the latest research

19,221 results found
    1. Biochemistry and Chemical Biology

    Genome-wide synthetic-lethality screen of Bam complex associated genes in Escherichia coli

    Jack A Bryant, Kara A Staunton ... Manuel Banzhaf
    Revised
    Reviewed Preprint v2
    Updated
    • Useful
    • Convincing
    1. Neuroscience

    Loose coupling between Ca2+ channels and release sensors as a synaptic correlate of higher order brain function

    Grit Bornschein, Max Schwarze ... Hartmut Schmidt
    Revised
    Reviewed Preprint v2
    Updated
    • Important
    • Convincing
    1. Immunology and Inflammation

    An IL-21R STAT hypomorph circumvents functional redundancy in germinal center responses

    Christoph Jandl, Joanna Warren ... Cecile King
    Revised
    Reviewed Preprint v2
    Updated
    • Valuable
    • Incomplete
    1. Cell Biology

    ATG2A interacts with RAB1A and ARFGAP1 positive membranes during autophagosome biogenesis

    Devin M Fuller, Yumei Wu ... Thomas J Melia
    Revised
    Reviewed Preprint v3
    Updated
    • Important
    • Convincing
    1. Immunology and Inflammation

    Role of mast cells in endomicrobial sepsis revisited: Mast cell-deficient mice show normal immunological protection

    Thorsten B Feyerabend, Fabienne Schochter ... Hans-Reimer Rodewald
    Revised
    Reviewed Preprint v2
    Updated
    • Important
    • Solid
    1. Biochemistry and Chemical Biology
    2. Genetics and Genomics

    Determining the off-target activity of antibiotics and novel translation initiation sites in mitochondria

    James Marks, Emma Young, Markus Hafner
    Revised
    Reviewed Preprint v3
    Updated
    • Valuable
    • Solid
    1. Biochemistry and Chemical Biology
    2. Computational and Systems Biology

    Squidly harnesses enzyme functional hierarchy and contrastive learning to efficiently predict catalytic residues from sequence

    William JF Rieger, Mikael Bodén ... Ariane Mora
    Squidly enables efficient identification of enzyme catalytic residues by integrating functional hierarchies into a contrastive learning framework, requiring only protein sequences to produce scalable predictions across the known enzyme landscape.

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