Fundamentals and Methods for T- and B-Cell Epitope Prediction
By J. L. Sánchez-Trincado, Marta Gomez-Perosanz, Pedro A. Reche. Journal of Immunological Research, 2017
577 citations recorded by the source corpus.
Adaptive immunity is mediated by T- and B-cells, which are immune cells capable of developing pathogen-specific memory that confers immunological protection. Memory and effector functions of B- and T-cells are predicated on the recognition through specialized receptors of specific targets (antigens) in pathogens. More specifically, B- and T-cells recognize portions within their cognate antigens known as epitopes. There is great interest in identifying epitopes in antigens for a number of practical reasons, including understanding disease etiology, immune monitoring, developing diagnosis assays, and designing epitope-based vaccines. Epitope identification is costly and time-consuming as it requires experimental screening of large arrays of potential epitope candidates. Fortunately, researchers have developed in silico prediction methods that dramatically reduce the burden associated with epitope mapping by decreasing the list of potential epitope candidates for experimental testing. Here, we analyze aspects of antigen recognition by T- and B-cells that are relevant for epitope prediction. Subsequently, we provide a systematic and inclusive review of the most relevant B- and T-cell epitope prediction methods and tools, paying particular attention to their foundations.
Subfields: Immunology, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/e786da1dc063b517139b86aaaeb13fe60f2dc944
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In Molecular Biology
Citations in the corpus
- A Review of Deep Learning Methods for Antibodies (2020, background): “While it is estimated that approximately 90% of B-cell epitopes are conformational, a significant amount of attention has been placed on predicting linear B-cell epitopes [20].”