Throughout the body, T cells monitor MHC-bound ligands expressed on the surface of essentially all cell types. MHC ligands that trigger a T cell immune response are referred to as T cell epitopes. Identifying such epitopes enables tracking, phenotyping, and stimulating T cells involved in immune responses in infectious disease, allergy, autoimmunity ...
Morten Nielsen+4 more
openaire +5 more sources
Identification of Two Critical Contact Residues in a Pathogenic Epitope from Tetranectin for Monoclonal Antibody Binding and Preparation of Single-Chain Variable Fragments [PDF]
Sepsis is a fetal disease that requires a clear diagnostic biomarker for timely antibiotic treatment. Recent research has identified a pyroptosis-inducing epitope known as P5-5 in tetranectin (TN), a plasma protein produced by monocytes.
Juncheng Wang+8 more
doaj +2 more sources
An Introduction to B-Cell Epitope Mapping and In Silico Epitope Prediction [PDF]
Identification of B-cell epitopes is a fundamental step for development of epitope-based vaccines, therapeutic antibodies, and diagnostic tools. Epitope-based antibodies are currently the most promising class of biopharmaceuticals. In the last decade, in-depth in silico analysis and categorization of the experimentally identified epitopes stimulated ...
Lenka Potocnakova+2 more
openaire +4 more sources
A gp41 MPER-specific llama VHH requires a hydrophobic CDR3 for neutralization but not for antigen recognition [PDF]
The membrane proximal external region (MPER) of the HIV-1 glycoprotein gp41 is targeted by the broadly neutralizing antibodies 2F5 and 4E10. To date, no immunization regimen in animals or humans has produced HIV-1 neutralizing MPER-specific antibodies ...
Aasa-Chapman, Marlén M. I.+23 more
core +22 more sources
BepiPred‐3.0: Improved B‐cell epitope prediction using protein language models
B-cell epitope prediction tools are of great medical and commercial interest due to their practical applications in vaccine development. The introduction of protein language models (LM) trained on unprecedented large datasets of protein sequences and ...
J. Clifford+5 more
semanticscholar +1 more source
Incorporation of T-cell epitopes from tetanus and diphtheria toxoids into in-silico-designed hypoallergenic vaccine may enhance the protective immune response against allergens [PDF]
Objective(s): New generation of allergy vaccines is capable of promoting the development of protective IgG and blocking the functionality of allergen-specific IgE. We incorporated universal and powerful T-cell epitopes from tetanus and diphtheria toxoids
Ali Ghasemi+5 more
doaj +1 more source
Identifying New Hybrid Insulin Peptides (HIPs) in Type 1 Diabetes
In 2016 Delong et al. discovered a new type of neoepitope formed by the fusion of two unrelated peptide fragments. Remarkably these neoepitopes, called hybrid insulin peptides, or HIPs, are recognized by pathogenic CD4+ T cells in the NOD mouse and human
Stuart I. Mannering+5 more
doaj +1 more source
In silico proof of principle of machine learning-based antibody design at unconstrained scale
Generative machine learning (ML) has been postulated to become a major driver in the computational design of antigen-specific monoclonal antibodies (mAb).
Rahmad Akbar+18 more
doaj +1 more source
A highly conserved cryptic epitope in the receptor binding domains of SARS-CoV-2 and SARS-CoV
Targeting the SARS-CoV-2 spike The surface of severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) is decorated with trimeric spikes that bind to host cell receptors.
M. Yuan+7 more
semanticscholar +1 more source
CD8+ T cell recognition is detected throughout the SARS-CoV-2 genome and is associated with COVID-19 disease severity. T cells are important for effective viral clearance, elimination of virus-infected cells and long-term disease protection.
S. Saini+7 more
semanticscholar +1 more source