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Impact of HLA Epitope Matching on Outcomes After Unrelated Bone Marrow Transplantation

open access: yesFrontiers in Immunology, 2022
The significance of antibody-identified epitopes stimulating humoral alloimmunity is not well understood in the identification of non-permissive human leukocyte antigen (HLA) mismatching patterns in hematopoietic stem cell transplantation (HSCT).
Makoto Iwasaki   +19 more
doaj   +1 more source

Design of a Recombinant Multivalent Epitope Vaccine Based on SARS-CoV-2 and Its Variants in Immunoinformatics Approaches

open access: yesFrontiers in Immunology, 2022
The development of an effective multivalent vaccine against SARS-CoV-2 variants is an important means to improve the global public health situation caused by COVID-19. In this study, we identified the antigen epitopes of the main global epidemic SARS-CoV-
Mingkai Yu   +12 more
doaj   +1 more source

Snowflake: A deep learning-based human leukocyte antigen matching algorithm considering allele-specific surface accessibility

open access: yesFrontiers in Immunology, 2022
Histocompatibility in solid-organ transplantation has a strong impact on long-term graft survival. Although recent advances in matching of both B-cell epitopes and T-cell epitopes have improved understanding of allorecognition, the immunogenic ...
Matthias Niemann   +3 more
doaj   +1 more source

Pediatric Kidney Transplantation—Can We Do Better? The Promise and Limitations of Epitope/Eplet Matching

open access: yesFrontiers in Pediatrics, 2022
Kidney transplant is the optimal treatment for end-stage kidney disease as it offers significant survival and quality of life advantages over dialysis.
Olga Charnaya   +4 more
doaj   +1 more source

Prediction and validation of murine MHC class I epitopes of the recombinant virus VSV-GP

open access: yesFrontiers in Immunology, 2023
Oncolytic viruses are currently tested as a novel platform for cancer therapy. These viruses preferentially replicate in and kill malignant cells. Due to their microbial origin, treatment with oncolytic viruses naturally results in anti-viral responses ...
Saskia V. Vijver   +11 more
doaj   +1 more source

TCRMatch: Predicting T-Cell Receptor Specificity Based on Sequence Similarity to Previously Characterized Receptors

open access: yesFrontiers in Immunology, 2021
The adaptive immune system in vertebrates has evolved to recognize non-self antigens, such as proteins expressed by infectious agents and mutated cancer cells.
William D. Chronister   +15 more
doaj   +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]

open access: yesIranian Journal of Basic Medical Sciences, 2020
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

TITAN: T Cell Receptor Specificity Prediction with Bimodal Attention Networks [PDF]

open access: yesBioinformatics 37 (2021): i237-i244, 2021
Motivation: The activity of the adaptive immune system is governed by T-cells and their specific T-cell receptors (TCR), which selectively recognize foreign antigens. Recent advances in experimental techniques have enabled sequencing of TCRs and their antigenic targets (epitopes), allowing to research the missing link between TCR sequence and epitope ...
arxiv   +1 more source

BeeTLe: A Framework for Linear B-Cell Epitope Prediction and Classification [PDF]

open access: yes, 2023
The process of identifying and characterizing B-cell epitopes, which are the portions of antigens recognized by antibodies, is important for our understanding of the immune system, and for many applications including vaccine development, therapeutics, and diagnostics.
arxiv   +1 more source

In silico proof of principle of machine learning-based antibody design at unconstrained scale

open access: yesmAbs, 2022
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

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