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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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樓主: hearken
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發(fā)表于 2025-3-23 11:38:37 | 只看該作者
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發(fā)表于 2025-3-24 00:18:07 | 只看該作者
EPIPOX: A Resource Facilitating Epitope-Vaccine Design Against Human Pathogenic Orthopoxvirusesional design of T cell epitope-based vaccines. In this chapter, we describe the main features of EPIPOX and exemplify its use, retrieving orthopoxvirus-specific T cell epitopes with features set to enhance their immunogenicity. EPIPOX is available for free public use at ..
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發(fā)表于 2025-3-24 04:18:01 | 只看該作者
Design of Linear B Cell Epitopes and Evaluation of Their Antigenicity, Allergenicity, and Toxicity: n an antigen constitutes one of the important steps in the design of multi-epitope-based vaccines. This chapter explains the prediction of linear B cell epitopes in an antigen as well as their allergenicity, antigenicity, and toxicity by using online tools.
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發(fā)表于 2025-3-24 07:15:08 | 只看該作者
Book 2023cs and system immunology, databases, prediction of antigenicity and immunogenicity, and computational vaccinology. Written in the format of the highly successful?.Methods in Molecular Biology?.series, each chapter includes an introduction to the topic, lists necessary materials and reagents, include
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發(fā)表于 2025-3-24 10:47:37 | 只看該作者
1064-3745 ation advice from the expertsThis volume explores computational vaccine design and the technologies that support it.? Chapters have been divided into four parts detailing immunonics and system immunology, databases, prediction of antigenicity and immunogenicity, and computational vaccinology. Writte
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發(fā)表于 2025-3-24 16:14:29 | 只看該作者
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發(fā)表于 2025-3-24 21:03:24 | 只看該作者
https://doi.org/10.1007/978-3-642-50786-1 methods, which are currently available as user-friendly . servers, to predict B cell epitopes in proteins. A final assessment to validate these predictions is done by recurring to the Immune Epitope Database (IEDB).
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發(fā)表于 2025-3-25 00:37:32 | 只看該作者
TSNAD and TSNAdb: The Useful Toolkit for Clinical Application of Tumor-Specific Neoantigensoantigens based on pan-cancer immunogenomics analyses. In this chapter, we describe the usage of TSNAD and TSNAdb for the clinical application of neoantigens. The latest version of TSNAD is available at ., and the latest version of TSNAdb is available at ..
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