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Antibodies

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Geometric potentials from deep learning improve prediction of CDR H3 loop structures.

Bioinformatics (Oxford, England)
MOTIVATION: Antibody structure is largely conserved, except for a complementarity-determining region featuring six variable loops. Five of these loops adopt canonical folds which can typically be predicted with existing methods, while the remaining l...

Antibody complementarity determining region design using high-capacity machine learning.

Bioinformatics (Oxford, England)
MOTIVATION: The precise targeting of antibodies and other protein therapeutics is required for their proper function and the elimination of deleterious off-target effects. Often the molecular structure of a therapeutic target is unknown and randomize...

Improvement in prediction of antigenic epitopes using stacked generalisation: an ensemble approach.

IET systems biology
The major intent of peptide vaccine designs, immunodiagnosis and antibody productions is to accurately identify linear B-cell epitopes. The determination of epitopes through experimental analysis is highly expensive. Therefore, it is desirable to dev...

Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Body.

Cell
Reliable detection of disseminated tumor cells and of the biodistribution of tumor-targeting therapeutic antibodies within the entire body has long been needed to better understand and treat cancer metastasis. Here, we developed an integrated pipelin...

Antibody interface prediction with 3D Zernike descriptors and SVM.

Bioinformatics (Oxford, England)
MOTIVATION: Antibodies are a class of proteins capable of specifically recognizing and binding to a virtually infinite number of antigens. This binding malleability makes them the most valuable category of biopharmaceuticals for both diagnostic and t...

Sphinx: merging knowledge-based and ab initio approaches to improve protein loop prediction.

Bioinformatics (Oxford, England)
MOTIVATION: Loops are often vital for protein function, however, their irregular structures make them difficult to model accurately. Current loop modelling algorithms can mostly be divided into two categories: knowledge-based, where databases of frag...

High Mobility Group Box 1 Protein Enhances HIV Replication in Newly Infected Primary T Cells.

Clinical laboratory
BACKGROUND: High-mobility group box 1 (HMGB1), a DNA-binding protein, has recently been shown to have effects on HIV replication, but the effects are dependent on the cell type and the timing of infection. Using human primary T cells, this study aime...