AIMC Topic: Receptors, Antigen, T-Cell

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Tri-objective optimization of a waste-to-energy plant with super critical carbon dioxide and multi-effect water desalination for building application based on biomass fuels.

Chemosphere Jun 9, 2023
In the present research, an innovative biomass-based energy system for the production of electricity and desalinated water for building application is proposed. The main subsystems of this power plant include gasification cycle, gas turbine (GT), sup...
Water Receptors, Antigen, T-Cell Carbon Dioxide Artificial Intelligence Biomass
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ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins.

Communications biology May 29, 2023
Immune receptor proteins play a key role in the immune system and have shown great promise as biotherapeutics. The structure of these proteins is critical for understanding their antigen binding properties. Here, we present ImmuneBuilder, a set of de...
Antibodies Single-Domain Antibodies Receptors, Antigen, T-Cell Models, Molecular Deep Learning
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Applying T-classifier, binary classifiers, upon high-throughput TCR sequencing output to identify cytomegalovirus exposure history.

Scientific reports Mar 28, 2023
With the continuous development of information technology and the running speed of computers, the development of informatization has led to the generation of increasingly more medical data. Solving unmet needs such as employing the constantly develop...
Receptors, Antigen, T-Cell Cytomegalovirus High-Throughput Nucleotide Sequencing Cytomegalovirus Infections Algorithms Humans Adult Artificial Intelligence
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Multiple instance neural networks based on sparse attention for cancer detection using T-cell receptor sequences.

BMC bioinformatics Nov 8, 2022
Early detection of cancers has been much explored due to its paramount importance in biomedical fields. Among different types of data used to answer this biological question, studies based on T cell receptors (TCRs) are under recent spotlight due to ...
Humans Neural Networks, Computer ROC Curve Receptors, Antigen, T-Cell Attention Machine Learning Neoplasms
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Machine Learning Approaches to TCR Repertoire Analysis.

Frontiers in immunology Jul 15, 2022
Sparked by the development of genome sequencing technology, the quantity and quality of data handled in immunological research have been changing dramatically. Various data and database platforms are now driving the rapid progress of machine learning...
Immune System Machine Learning Receptors, Antigen, T-Cell
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CD147-specific chimeric antigen receptor T cells effectively inhibit T cell acute lymphoblastic leukemia.

Cancer letters May 31, 2022
T cell acute lymphoblastic leukemia (T-ALL) is invasive and heterogeneous, and existing therapies are sometimes unsuccessful. Chimeric antigen receptor (CAR) T cell therapy is a breakthrough tumor treatment method, particularly for B cell acute lymph...
Precursor T-Cell Lymphoblastic Leukemia-Lymphoma Cell Line, Tumor Immunotherapy, Adoptive Receptors, Antigen, T-Cell Receptors, Chimeric Antigen Mice, Inbred NOD Mice T-Lymphocytes Humans Basigin Animals
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A Deep Learning Model for Accurate Diagnosis of Infection Using Antibody Repertoires.

Journal of immunology (Baltimore, Md. : 1950) May 23, 2022
The adaptive immune receptor repertoire consists of the entire set of an individual's BCRs and TCRs and is believed to contain a record of prior immune responses and the potential for future immunity. Analyses of TCR repertoires via deep learning (DL...
Receptors, Antigen, T-Cell Amino Acid Sequence Humans COVID-19 Deep Learning
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T Cell Epitope Prediction and Its Application to Immunotherapy.

Frontiers in immunology Sep 15, 2021
T cells play a crucial role in controlling and driving the immune response with their ability to discriminate peptides derived from healthy as well as pathogenic proteins. In this review, we focus on the currently available computational tools for ep...
Humans Epitopes, T-Lymphocyte Peptides Neural Networks, Computer Mass Spectrometry Antigen Presentation Receptors, Antigen, T-Cell Neoplasms Models, Molecular Antigens, Neoplasm T-Cell Antigen Receptor Specificity Histocompatibility Antigens Class I Computational Biology Sequence Analysis, DNA Base Sequence Immunotherapy
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NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data.

Communications biology Sep 10, 2021
Prediction of T-cell receptor (TCR) interactions with MHC-peptide complexes remains highly challenging. This challenge is primarily due to three dominant factors: data accuracy, data scarceness, and problem complexity. Here, we showcase that "shallow...
Receptors, Antigen, T-Cell Protein Binding Neural Networks, Computer
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A structural-based machine learning method to classify binding affinities between TCR and peptide-MHC complexes.

Molecular immunology Aug 26, 2021
The activation of T cells is triggered by the interactions of T cell receptors (TCRs) with their epitopes, which are peptides presented by major histocompatibility complex (MHC) on the surfaces of antigen presenting cells (APC). While each TCR can on...
Lymphocyte Activation Receptors, Antigen, T-Cell Major Histocompatibility Complex Protein Binding Humans Machine Learning
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