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Fundamentals and methods for T‐and B‐cell epitope prediction
JL Sanchez-Trincado… - Journal of …, 2017 - Wiley Online Library
Adaptive immunity is mediated by T‐and B‐cells, which are immune cells capable of
develo** pathogen‐specific memory that confers immunological protection. Memory and …
develo** pathogen‐specific memory that confers immunological protection. Memory and …
[HTML][HTML] An overview of bioinformatics tools for epitope prediction: implications on vaccine development
RE Soria-Guerra, R Nieto-Gomez… - Journal of biomedical …, 2015 - Elsevier
Exploitation of recombinant DNA and sequencing technologies has led to a new concept in
vaccination in which isolated epitopes, capable of stimulating a specific immune response …
vaccination in which isolated epitopes, capable of stimulating a specific immune response …
Designing of interferon-gamma inducing MHC class-II binders
Background The generation of interferon-gamma (IFN-γ) by MHC class II activated CD4+ T
helper cells play a substantial contribution in the control of infections such as caused by …
helper cells play a substantial contribution in the control of infections such as caused by …
Transfer learning
SJ Pan - Learning, 2020 - api.taylorfrancis.com
Supervised machine learning techniques have already been widely studied and applied to
various real-world applications. However, most existing supervised algorithms work well …
various real-world applications. However, most existing supervised algorithms work well …
NetMHCpan, a method for MHC class I binding prediction beyond humans
Binding of peptides to major histocompatibility complex (MHC) molecules is the single most
selective step in the recognition of pathogens by the cellular immune system. The human …
selective step in the recognition of pathogens by the cellular immune system. The human …
Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method
Abstract Background Antigen presenting cells (APCs) sample the extra cellular space and
present peptides from here to T helper cells, which can be activated if the peptides are of …
present peptides from here to T helper cells, which can be activated if the peptides are of …
NetMHCpan, a Method for Quantitative Predictions of Peptide Binding to Any HLA-A and -B Locus Protein of Known Sequence
Background Binding of peptides to Major Histocompatibility Complex (MHC) molecules is
the single most selective step in the recognition of pathogens by the cellular immune system …
the single most selective step in the recognition of pathogens by the cellular immune system …
Immunoinformatics and epitope prediction in the age of genomic medicine
L Backert, O Kohlbacher - Genome medicine, 2015 - Springer
Immunoinformatics involves the application of computational methods to immunological
problems. Prediction of B-and T-cell epitopes has long been the focus of immunoinformatics …
problems. Prediction of B-and T-cell epitopes has long been the focus of immunoinformatics …
Machine learning techniques for the prediction of B-cell and T-cell epitopes as potential vaccine targets with a specific focus on SARS-CoV-2 pathogen: A review
The only part of an antigen (a protein molecule found on the surface of a pathogen) that is
composed of epitopes specific to T and B cells is recognized by the human immune system …
composed of epitopes specific to T and B cells is recognized by the human immune system …
A novel multi-epitope peptide vaccine against cancer: an in silico approach
Cancer immunotherapy has an outstanding position in cancer prevention and treatment. In
this kind of therapy, the immune system is activated to eliminate cancerous cells. Multi …
this kind of therapy, the immune system is activated to eliminate cancerous cells. Multi …