AIMC Topic: Adaptive Immunity

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DeepAIR: A deep learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysis.

Science advances Aug 9, 2023
Structural docking between the adaptive immune receptors (AIRs), including T cell receptors (TCRs) and B cell receptors (BCRs), and their cognate antigens are one of the most fundamental processes in adaptive immunity. However, current methods for pr...
Receptors, Antigen, T-Cell Antigens Adaptive Immunity Receptors, Antigen, B-Cell Humans Deep Learning
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T cell immune responses deciphered.

Science (New York, N.Y.) May 19, 2022
A machine-learning approach reveals antigen encoding that predicts T cell responses.
Mice Antigens Adaptive Immunity Machine Learning Humans Antigen Presentation Animals T-Lymphocytes
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Applications of Machine and Deep Learning in Adaptive Immunity.

Annual review of chemical and biomolecular engineering Apr 14, 2021
Adaptive immunity is mediated by lymphocyte B and T cells, which respectively express a vast and diverse repertoire of B cell and T cell receptors and, in conjunction with peptide antigen presentation through major histocompatibility complexes (MHCs)...
T-Lymphocytes Adaptive Immunity Deep Learning Receptors, Antigen, T-Cell
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Machine Learning Analysis of Naïve B-Cell Receptor Repertoires Stratifies Celiac Disease Patients and Controls.

Frontiers in immunology Mar 10, 2021
Celiac disease (CeD) is a common autoimmune disorder caused by an abnormal immune response to dietary gluten proteins. The disease has high heritability. HLA is the major susceptibility factor, and the HLA effect is mediated via presentation of deami...
Humans Machine Learning Case-Control Studies Databases, Genetic Genes, Immunoglobulin Heavy Chain Adaptive Immunity Genes, Immunoglobulin Light Chain Celiac Disease Receptors, Antigen, B-Cell Cluster Analysis B-Lymphocytes Data Mining
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Sensitivity analysis based on the random forest machine learning algorithm identifies candidate genes for regulation of innate and adaptive immune response of chicken.

Poultry science Sep 12, 2020
Two categories of immune responses-innate and adaptive immunity-have both polygenic backgrounds and a significant environmental component. The goal of the reported study was to define candidate genes and mutations for the immune traits of interest in...
Algorithms Animals Chickens Machine Learning Immunity, Innate Adaptive Immunity Quantitative Trait Loci
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Cellular frustration algorithms for anomaly detection applications.

PloS one Jul 8, 2019
Cellular frustrated models have been developed to describe how the adaptive immune system works. They are composed by independent agents that continuously pair and unpair depending on the information that one sub-set of these agents display. The emer...
Artificial Intelligence Immune System Algorithms Humans Models, Biological Adaptive Immunity Support Vector Machine T-Lymphocytes Data Mining Models, Statistical
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Quantitative Prediction of the Landscape of T Cell Epitope Immunogenicity in Sequence Space.

Frontiers in immunology Apr 16, 2019
Immunodominant T cell epitopes preferentially targeted in multiple individuals are the critical element of successful vaccines and targeted immunotherapies. However, the underlying principles of this "convergence" of adaptive immunity among different...
Antigen Presentation Immunodominant Epitopes Epitopes, T-Lymphocyte Receptors, Antigen, T-Cell Machine Learning Computational Biology Humans Thermodynamics Datasets as Topic Major Histocompatibility Complex Computer Simulation Adaptive Immunity T-Lymphocytes
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Machine learning identifies an immunological pattern associated with multiple juvenile idiopathic arthritis subtypes.

Annals of the rheumatic diseases Mar 12, 2019
OBJECTIVES: Juvenile idiopathic arthritis (JIA) is the most common class of childhood rheumatic diseases, with distinct disease subsets that may have diverging pathophysiological origins. Both adaptive and innate immune processes have been proposed a...
Arthritis, Juvenile Adaptive Immunity Case-Control Studies Adolescent Child, Preschool Child Flow Cytometry Immunophenotyping Machine Learning Female Male Humans
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Computational Strategies for Dissecting the High-Dimensional Complexity of Adaptive Immune Repertoires.

Frontiers in immunology Feb 21, 2018
The adaptive immune system recognizes antigens an immense array of antigen-binding antibodies and T-cell receptors, the immune repertoire. The interrogation of immune repertoires is of high relevance for understanding the adaptive immune response in...
Receptors, Immunologic Humans Adaptive Immunity Neoplasms Data Interpretation, Statistical Machine Learning Computational Biology HIV Infections Autoimmune Diseases Software Signal Transduction High-Throughput Nucleotide Sequencing Animals
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Evidence-based selection of training compounds for use in the mechanism-based integrated prediction of drug-induced liver injury in man.

Archives of toxicology Sep 22, 2016
The current test systems employed by pharmaceutical industry are poorly predictive for drug-induced liver injury (DILI). The 'MIP-DILI' project addresses this situation by the development of innovative preclinical test systems which are both mechanis...
Drugs, Investigational Mitochondria, Liver Adaptive Immunity Chemical and Drug Induced Liver Injury Hepatobiliary Elimination Severity of Illness Index Liver Humans Oxidative Stress Molecular Structure Artificial Intelligence Computational Biology Lysosomes Models, Biological Animals Expert Systems Evidence-Based Medicine
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