AIMC Topic: Antigens

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Prediction of Specific TCR-Peptide Binding From Large Dictionaries of TCR-Peptide Pairs.

Frontiers in immunology Aug 25, 2020
Current sequencing methods allow for detailed samples of T cell receptors (TCR) repertoires. To determine from a repertoire whether its host had been exposed to a target, computational tools that predict TCR-epitope binding are required. Currents too...
Humans Software Deep Learning Receptors, Antigen, T-Cell Protein Binding Signal Transduction T-Lymphocytes Epitopes, T-Lymphocyte Peptides Binding Sites Protein Interaction Domains and Motifs Databases, Protein Ligands Antigens
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Machine Learning-Guided Prediction of Antigen-Reactive In Silico Clonotypes Based on Changes in Clonal Abundance through Bio-Panning.

Biomolecules Mar 8, 2020
c-Met is a promising target in cancer therapy for its intrinsic oncogenic properties. However, there are currently no c-Met-specific inhibitors available in the clinic. Antibodies blocking the interaction with its only known ligand, hepatocyte growth...
Animals Chickens Sequence Analysis, DNA Single-Chain Antibodies Antigens Cloning, Molecular Avian Proteins Machine Learning
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Single T Cell Sequencing Demonstrates the Functional Role of TCR Pairing in Cell Lineage and Antigen Specificity.

Frontiers in immunology Jul 31, 2019
Although structural studies of individual T cell receptors (TCRs) have revealed important roles for both the α and β chain in directing MHC and antigen recognition, repertoire-level immunogenomic analyses have historically examined the β chain alone....
Complementarity Determining Regions Receptors, Antigen, T-Cell, alpha-beta Humans Machine Learning Antigens Sequence Analysis, Protein CD8-Positive T-Lymphocytes CD4-Positive T-Lymphocytes
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Large-scale network analysis reveals the sequence space architecture of antibody repertoires.

Nature communications Mar 21, 2019
The architecture of mouse and human antibody repertoires is defined by the sequence similarity networks of the clones that compose them. The major principles that define the architecture of antibody repertoires have remained largely unknown. Here, we...
Amino Acid Motifs Antigens Ovalbumin Muramidase Peptide Library Immunization B-Lymphocytes Datasets as Topic Single-Chain Antibodies Clone Cells Hepatitis B Surface Antigens Neural Networks, Computer Animals Mice Humans
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Development of a surface plasmon resonance immunosensor and ELISA for 3-nitrotyrosine in human urine.

Talanta Dec 1, 2018
3-Nitrotyrosine (3-NT) is thought to be a relevant biomarker of nitrosative stress which is associated with many inflammatory and chronic diseases. It is necessary to develop confidential method for specific and sensitive 3-NT detection. In this pape...
Antigens Immunoassay Cross Reactions Antibodies Ovalbumin Surface Plasmon Resonance Humans Tyrosine Biosensing Techniques Limit of Detection
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Paper-based fluorescent immunoassay for highly sensitive and selective detection of norfloxacin in milk at picogram level.

Talanta Nov 24, 2018
Norfloxacin (NOR) in milk may influence mammalian cell replication and bring about a decrease in the efficiency for treating infection in humans. However, current techniques for detecting NOR usually require expensive instruments and trained personne...
Paper Milk Antigens Antibodies, Monoclonal Quantum Dots Immunoassay Norfloxacin Serum Albumin, Bovine Animals Fluorescence Anti-Bacterial Agents
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Prediction of methionine oxidation risk in monoclonal antibodies using a machine learning method.

mAbs Sep 25, 2018
Monoclonal antibodies (mAbs) have become a major class of protein therapeutics that target a spectrum of diseases ranging from cancers to infectious diseases. Similar to any protein molecule, mAbs are susceptible to chemical modifications during the ...
Complementarity Determining Regions Kinetics Antineoplastic Agents, Immunological Antigens Antibodies, Monoclonal Methionine Oxidation-Reduction Humans Protein Binding Treatment Outcome Machine Learning Computer Simulation
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Staged heterogeneity learning to identify conformational B-cell epitopes from antigen sequences.

BMC genomics Mar 14, 2017
BACKGROUND: The broad heterogeneity of antigen-antibody interactions brings tremendous challenges to the design of a widely applicable learning algorithm to identify conformational B-cell epitopes. Besides the intrinsic heterogeneity introduced by di...
Protein Conformation, beta-Strand Protein Binding Models, Statistical Epitope Mapping B-Lymphocytes Supervised Machine Learning Humans Protein Interaction Domains and Motifs Epitopes, B-Lymphocyte Protein Conformation, alpha-Helical Antigens Binding Sites Antigen-Antibody Complex
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NABP-LSTM-Att: Nanobody-Antigen binding prediction using bidirectional LSTM and soft attention mechanism.

Computational biology and chemistry Oct 1, 2025
In vertebrates, antibody-mediated immunity is a vital component of the immune system, and antibodies have become a rapidly expanding class of therapeutic agents. Nanobodies, a distinct type of antibody, have recently emerged as a stable and cost-effe...
Humans Computational Biology Deep Learning Antigens Protein Binding Single-Domain Antibodies
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HAIRpred: Prediction of human antibody interacting residues in an antigen from its primary structure.

Protein science : a publication of the Protein Society Aug 1, 2025
In the past, several methods have been developed for predicting conformational B-cell epitopes in antigens that are not specific to any host. Our primary analysis of antibody-antigen complexes indicated a need to develop host-specific B-cell epitopes...
Models, Molecular Antigens Antigen-Antibody Complex Epitopes, B-Lymphocyte Humans Machine Learning Software
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