AIMC Topic: Antibodies

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Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery.

Briefings in bioinformatics Jul 18, 2022
Antibodies are versatile molecular binders with an established and growing role as therapeutics. Computational approaches to developing and designing these molecules are being increasingly used to complement traditional lab-based processes. Nowadays,...
Antibodies Feasibility Studies Machine Learning Deep Learning
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Heavy chain sequence-based classifier for the specificity of human antibodies.

Briefings in bioinformatics Jan 17, 2022
Antibodies specifically bind to antigens and are an essential part of the immune system. Hence, antibodies are powerful tools in research and diagnostics. High-throughput sequencing technologies have promoted comprehensive profiling of the immune rep...
Machine Learning ROC Curve Humans Complementarity Determining Regions Antibody Specificity Antibodies High-Throughput Nucleotide Sequencing Amino Acid Sequence
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DLAB: deep learning methods for structure-based virtual screening of antibodies.

Bioinformatics (Oxford, England) Jan 3, 2022
MOTIVATION: Antibodies are one of the most important classes of pharmaceuticals, with over 80 approved molecules currently in use against a wide variety of diseases. The drug discovery process for antibody therapeutic candidates however is time- and ...
Antibodies Antigens Software Deep Learning
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Predicting antibody binders and generating synthetic antibodies using deep learning.

mAbs Jan 1, 2022
The antibody drug field has continually sought improvements to methods for candidate discovery and engineering. Historically, most such methods have been laboratory-based, but informatics methods have recently started to make an impact. Deep learning...
CTLA-4 Antigen Deep Learning Antibodies Programmed Cell Death 1 Receptor Complementarity Determining Regions
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BioPhi: A platform for antibody design, humanization, and humanness evaluation based on natural antibody repertoires and deep learning.

mAbs Jan 1, 2022
Despite recent advances in transgenic animal models and display technologies, humanization of mouse sequences remains one of the main routes for therapeutic antibody development. Traditionally, humanization is manual, laborious, and requires expert k...
Deep Learning Mice Animals Antibodies
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Deep Learning in Therapeutic Antibody Development.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
Deep learning applied to antibody development is in its adolescence. Low data volumes and biological platform differences make it challenging to develop supervised models that can predict antibody behavior in actual commercial development steps. But ...
Drug Design Deep Learning Antibodies
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Geometric potentials from deep learning improve prediction of CDR H3 loop structures.

Bioinformatics (Oxford, England) Jul 1, 2020
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...
Protein Conformation Complementarity Determining Regions Models, Molecular Antibodies Deep Learning
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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...
Machine Learning Complementarity Determining Regions Humans Antibodies
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Improvement in prediction of antigenic epitopes using stacked generalisation: an ensemble approach.

IET systems biology Feb 1, 2020
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...
Computational Biology Support Vector Machine Models, Statistical Antibodies Algorithms Drug Design Humans Machine Learning Epitopes, B-Lymphocyte Amino Acid Sequence Vaccines
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Deep Learning Reveals Cancer Metastasis and Therapeutic Antibody Targeting in the Entire Body.

Cell Dec 12, 2019
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...
Mice, Inbred C57BL Animals MCF-7 Cells Neoplasms Software Mice Mice, SCID Tumor Microenvironment Diagnosis, Computer-Assisted Humans Drug Therapy, Computer-Assisted Mice, Nude Antibodies Deep Learning Neoplasm Metastasis
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