AIMC Topic: Cytidine Deaminase

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Interpretable deep learning reveals the role of an E-box motif in suppressing somatic hypermutation of AGCT motifs within human immunoglobulin variable regions.

Frontiers in immunology May 28, 2024
INTRODUCTION: Somatic hypermutation (SHM) of immunoglobulin variable (V) regions by activation induced deaminase (AID) is essential for robust, long-term humoral immunity against pathogen and vaccine antigens. AID mutates cytosines preferentially wit...
Humans Deep Learning Mutation Nucleotide Motifs Amino Acid Motifs Immunoglobulin Variable Region Cytidine Deaminase Somatic Hypermutation, Immunoglobulin AICDA (Activation-Induced Cytidine Deaminase)
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Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods.

Nature communications Aug 12, 2021
Efficient and precise base editors (BEs) for C-to-G transversion are highly desirable. However, the sequence context affecting editing outcome largely remains unclear. Here we report engineered C-to-G BEs of high efficiency and fidelity, with the seq...
Humans Machine Learning Female Reproducibility of Results Animals Mice Escherichia coli CRISPR-Cas Systems HEK293 Cells Uracil-DNA Glycosidase Base Sequence Gene Editing Binding Sites Codon Gene Library Caenorhabditis elegans Cytidine Deaminase
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