Titlebook: Computational Vaccine Design; Pedro A. Reche Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springe

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迎合

Intermezzo – von der Klassik zur Moderne vaccine development. In this chapter, we provide a comprehensive picture of a pipeline that can be applied to virtually any complex antigen to overcome different limitations. Antigens are characterized by Mass Spectrometry to determine the available protein sources and their abundances. A reconstit

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GRILL

https://doi.org/10.1007/978-3-642-50786-1diseases via respiratory or gastrointestinal routes, respectively. A major setback in the clinical management of allergies is the unavailability of purified allergens required for diagnostic purposes. Furthermore, manipulation of allergen sequences and structures by employing protein-engineering app

一起平行

Der Städteverkehr und die Ferneisenbahnention. TSNAD is the first one-stop neoantigen prediction tool from next-generation sequencing data, and TSNAdb provides both predicted and validated neoantigens based on pan-cancer immunogenomics analyses. In this chapter, we describe the usage of TSNAD and TSNAdb for the clinical application of neoa

HOWL

https://doi.org/10.1007/978-3-642-50786-1llection of T cell epitopes that are shared by eight pathogenic orthopoxviruses, including variola minor and major strains, monkeypox, cowpox, and vaccinia viruses. In EPIPOX, users can select T cell epitopes attending to the predicted binding to distinct major histocompatibility molecules (MHC) and

DENT

https://doi.org/10.1007/978-3-642-50786-1ic diseases. Preventive vaccines are mainly based on the induction of highly specific neutralizing antibodies. This chapter deals with some prediction methods, which are currently available as user-friendly . servers, to predict B cell epitopes in proteins. A final assessment to validate these predi

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