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Titlebook: Immunoinformatics; Rajat K. De,Namrata Tomar Book 2014Latest edition Springer Science+Business Media New York 2014 Computational tools.Com

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41#
發(fā)表于 2025-3-28 16:08:58 | 只看該作者
Prediction of Conformational B-Cell Epitopesr, we introduce important data resources and computational methods, which are publicly available. Moreover, we introduce our ensemble learning-based method that can predict the conformational epitopes from sequences. These promising methods may assist immunologists in identifying potential vaccine candidates.
42#
發(fā)表于 2025-3-28 20:50:42 | 只看該作者
43#
發(fā)表于 2025-3-29 01:25:14 | 只看該作者
Databases for T-Cell Epitopescould be the most crucial part of immunoinformatics offering data sources for the analysis of immune systems and development of prediction methods. This chapter provides an overview of publicly available databases of T-cell epitopes including general databases, pathogen- and tumor-specific databases, and 3D structure databases.
44#
發(fā)表于 2025-3-29 05:29:50 | 只看該作者
45#
發(fā)表于 2025-3-29 08:30:48 | 只看該作者
46#
發(fā)表于 2025-3-29 14:27:58 | 只看該作者
Computational Prediction of B Cell Epitopes from Antigen Sequencesvelopment and validation of computational predictors. We also offer practical insights concerning the use and availability of these B-cell epitope predictors, and motivate and discuss feature research in this area.
47#
發(fā)表于 2025-3-29 16:00:31 | 只看該作者
Mimotope-Based Prediction of B-Cell Epitopesn. In this chapter, we summarize mimotope-based prediction of B-cell epitopes under three conditions and focus on protocols and tips for retrieving, cleaning, and decoding the data from phage display technology.
48#
發(fā)表于 2025-3-29 21:11:45 | 只看該作者
49#
發(fā)表于 2025-3-30 02:02:49 | 只看該作者
50#
發(fā)表于 2025-3-30 06:29:36 | 只看該作者
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