AIMC Topic: 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...
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....
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...
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...
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...
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 ...
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...
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...
Application of in-silico approaches in subunit vaccines: Overcoming the challenges of antigen and adjuvant development.
Journal of controlled release : official journal of the Controlled Release Society
May 10, 2025
Subunit vaccines are crucial in preventing modern diseases due to their safety, stability, and ability to elicit targeted immune responses. However, challenges in antigen and adjuvant design hinder their development. Recent advancements in in-silico ...
Dendritic cell-based microrobots for enhanced systemic antigen-specific immune tolerance.
Journal of controlled release : official journal of the Controlled Release Society
May 10, 2025
Current immunotherapeutic approaches for autoimmune disorders primarily rely on the use of generalized immunosuppressive medications. However, most immune drugs and tolerogenic immunomodulators are insufficient on their own to establish antigen-speci...
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