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T-cell receptor binding prediction: A machine learning revolution
ImmunoInformaticsRecent advancements in immune sequencing and experimental techniques are generating extensive T cell receptor (TCR) repertoire data, enabling the development of models to predict TCR binding specificity.
Anna Weber +2 more
doaj
Epitope Prediction by Novel Immunoinformatics Approach: A State-of-the-art Review [PDF]
, 2019 Ehsan Raoufi +6 more
openalex +1 more source
immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking [PDF]
, 2020 Cédric R. Weber +7 more
openalex +1 more source
Immunoinformatics Approach for Multiepitope Vaccine Prediction from H, M, F, and N Proteins of Peste des Petits Ruminants Virus [PDF]
, 2019 Bothina Bakor Mohammed Gaafar +3 more
openalex +1 more source
Immunoinformatics Prediction of Epitope Based Peptide Vaccine Against Mycobacterium Tuberculosis PPE65 family Protein [PDF]
, 2019 Mustafa Elhag +3 more
openalex +1 more source
Design of a Multiepitope-Based Peptide Vaccine against the E Protein of Human COVID-19: An Immunoinformatics Approach [PDF]
, 2020 Miyssa I. Abdelmageed +6 more
openalex +1 more source
ImmunoInformaticsModeling and experimental data were used to evaluate how monocytes would respond to dual TLR4/TLR5 and dual TLR4/TLR7 signaling analogous to how the cells would respond to simultaneously encountering different types of pathogens.
Thalia Newman +6 more
doaj