AIMC Topic: Complementarity Determining Regions

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

Bioinformatics (Oxford, England) Apr 1, 2020
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...
Humans Machine Learning Antibodies Complementarity Determining Regions
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Antibody Clustering Using a Machine Learning Pipeline that Fuses Genetic, Structural, and Physicochemical Properties.

Advances in experimental medicine and biology Jan 1, 2020
Antibody V domain clustering is of paramount importance to a repertoire of immunology-related areas. Although several approaches have been proposed for antibody clustering, still no consensus has been reached. Numerous attempts use information from g...
Machine Learning Cluster Analysis Amino Acid Sequence Molecular Conformation Antigen-Antibody Complex Complementarity Determining Regions
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Feature selection using a one dimensional naïve Bayes' classifier increases the accuracy of support vector machine classification of CDR3 repertoires.

Bioinformatics (Oxford, England) Apr 1, 2017
MOTIVATION: Somatic DNA recombination, the hallmark of vertebrate adaptive immunity, has the potential to generate a vast diversity of antigen receptor sequences. How this diversity captures antigen specificity remains incompletely understood. In thi...
Humans Animals Support Vector Machine Databases, Genetic Mice, Inbred C57BL Bayes Theorem Amino Acids CD4-Positive T-Lymphocytes Complementarity Determining Regions Receptors, Antigen, T-Cell, alpha-beta
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VH-VL orientation prediction for antibody humanization candidate selection: A case study.

mAbs Jan 1, 2016
Antibody humanization describes the procedure of grafting a non-human antibody's complementarity-determining regions, i.e., the variable loop regions that mediate specific interactions with the antigen, onto a β-sheet framework that is representative...
Humans Machine Learning Antibodies, Monoclonal, Humanized Models, Molecular Protein Structure, Secondary Complementarity Determining Regions Structural Homology, Protein
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