Computational Vaccine Design

Häftad, Engelska, 2024

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Authoritative and cutting-edge, Computational Vaccine Design: Methods and Protocols aims to reflect on the rigorous and imaginative use of computational technologies to help catalyze future efforts and to improve global public health through the development of a broad range of novel vaccines.

Produktinformation

Utgivningsdatum2024-06-02
Mått178 x 254 x 29 mm
Vikt996 g
FormatHäftad
SpråkEngelska
SerieMethods in Molecular Biology
Antal sidor519
FörlagSpringer-Verlag New York Inc.
ISBN9781071632413

Tillhör följande kategorier

Onkologi inom Medicin
Maskinteknik och material inom Naturvetenskap och teknik
Biovetenskap inom Naturvetenskap och teknik

Vaccine Design: an introduction.- Epitope binning of monoclonal and polyclonal antibodies by biolayer interferometry.- Clustering and annotation of T-cell receptor repertoires.- Protocol for Classification Single Cell PBMC Types from Pathological Samples using Supervised Machine Learning.- Unbiased, high-throughput identification of T cell epitopes by ELISPOT.- CD4+ T cell epitope identification from complex parasite antigen mixtures.- Computational grafting of epitopes.- Manufacture of Mesoporous Silicon Microparticles (MSMPs) as adjuvants for vaccine delivery.- IEDB and CEDAR: Two Sibling Databases to Serve the Global Scientific Community.- Updates on databases of allergens and allergen-epitopes.- TSNAD and TSNAdb: The useful toolkit and database for clinical application of tumor-specific neoantigens.- EPIPOX: A Resource facilitating epitope-vaccine design against human Pathogenic Orthopoxviruses.- Prediction of linear B cell epitopes in proteins.- Design of linear B-cell epitopes and evaluation of their antigenicity, allergenicity, and toxicity: an immunoinformatics approach.- NetCleave: an open-source algorithm for predicting C-terminal antigen processing for MHC-I and MHC-II.- Prediction of TAP transport of peptides with variable length using TAPREG.- Docking-based Prediction of Peptide Binding to MHC Proteins.- The PANDORA software for anchor-restrained peptide:MHC modelling.- Prediction of Peptide and TCR CDR3 Loops in Formation of Class I MHC-Peptide-TCR Complexes using Molecular Models with Solvation.- Prediction of Bacterial Immunogenicity by Machine Learning Methods.- Vaxi-DL: an artificial Intelligence enabled platform for vaccine development.- A web-based method for the identification of IL6 based immunotoxicity in vaccine candidates.- In silico tool for identification, designing and searching of IL13 inducing peptides in antigens.- A leanReverse Vaccinology pipeline with publicly available bioinformatic tools.- Immunoinformatics protocol to design multi-epitope subunit vaccines.- In-silico Structure-based Vaccine Design.- Reverse vaccinology for influenza A virus: from genome sequencing to vaccine design.- Immunoinformatics vaccine design for Zika virus.- Immunoinformatics approaches in designing vaccines against COVID-19.- A Sample Guideline for Reverse Vaccinology Approach for the Development of Subunit Vaccine using Varicella Zoster as a Model Disease.- Computational Vaccine Design for Poxviridae Family Viruses.- Computational prediction of Trypanosoma cruzi epitopes towards the generation of an epitope-based vaccine against Chagas disease.- Computational vaccine design for common allergens