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Titlebook: Immunoinformatics; Namrata Tomar Book 2020Latest edition Springer Science+Business Media, LLC, part of Springer Nature 2020 Epitope predic

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發(fā)表于 2025-3-21 16:05:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Immunoinformatics
編輯Namrata Tomar
視頻videohttp://file.papertrans.cn/463/462161/462161.mp4
概述Includes cutting-edge techniques.Provides step-by-step detail essential for reproducible results.Contains key implementation advice from the experts
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Immunoinformatics;  Namrata Tomar Book 2020Latest edition Springer Science+Business Media, LLC, part of Springer Nature 2020 Epitope predic
描述This book covers a wide range of diverse immunoinformatics research topics, involving tools and databases of potential epitope prediction, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis of immune system data. In that way, this fully updated volume explores the enormous value of computational tools and models in immunology research. Written for the highly successful .Methods in Molecular Biology. series, chapters include the kind of key insights and detailed implementation advice to encourage successful results in the lab.?.Authoritative and practical, .Immunoinformatics, Third Edition. serves as an ideal guide for scientists working at the intersection of bioinformatics, mathematical modelling, and statistics for the study of immune systems biology..
出版日期Book 2020Latest edition
關(guān)鍵詞Epitope prediction; Mathematical modeling; Network analysis; Statistical techniques; Vaccine design; Immu
版次3
doihttps://doi.org/10.1007/978-1-0716-0389-5
isbn_softcover978-1-0716-0391-8
isbn_ebook978-1-0716-0389-5Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2020
The information of publication is updating

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發(fā)表于 2025-3-21 22:08:49 | 只看該作者
Vaccine Design Against Leptospirosis Using an Immunoinformatic Approach,tent, by reducing the number of vaccine candidates for experimental testing for their efficacy. This chapter describes the use of immunoinformatics and molecular docking methods to screen potential vaccine candidates by taking . as a model.
板凳
發(fā)表于 2025-3-22 03:00:33 | 只看該作者
EPCES and EPSVR: Prediction of B-Cell Antigenic Epitopes on Protein Surfaces with Conformational Inependent test set, in which all antigens had no complex structures with the antibody, and their epitopes were identified by various biochemical experiments. The servers and all datasets are available at . and ..
地板
發(fā)表于 2025-3-22 07:50:35 | 只看該作者
Network Analysis of Large-Scale Data and Its Application to Immunology,e and analyze networks using genome-wide transcriptional profiles. Additionally, we discuss ways to integrate information available in primary literature and databases with the networks assembled using large-scale datasets. Finally, we describe ways in which network analysis offers insights into human immune responses.
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發(fā)表于 2025-3-22 11:00:23 | 只看該作者
In Silico-Guided Sequence Modification of Epitopes in Cancer Vaccine Development,l epitopes (MHC class I/II binding) and B-cell epitopes (hydrophilicity, surface accessibility, antigenicity, and linear epitope). A scoring and ranking system based on these parameters was developed to shortlist potential mimotope candidates for further development as peptide cancer vaccines.
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發(fā)表于 2025-3-22 14:49:20 | 只看該作者
Generation of Variability-Free Reference Proteomes from Pathogenic Organisms for Epitope-Vaccine Der human herpesvirus 1 (HHV1), involves the identification of protein clusters, followed by multiple sequence alignments and Shannon variability calculations. The software required to build variability-free proteomes is available at ..
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