Immunoinformatics: predicting immunogenicity in silico

Darren R. Flower

Immunoinformatics: predicting immunogenicity in silico

Darren R. Flower (Editor)

University of Oxford

Research output: Book/Report › Edited Book

Abstract

This volume both engages the reader and provides a sound foundation for the use of immunoinformatics techniques in immunology and vaccinology. It addresses databases, HLA supertypes, MCH binding, and other properties of immune systems. The book contains chapters written by leaders in the field and provides a firm background for anyone working in immunoinformatics in one easy-to-use, insightful volume.

Original language	English
Place of Publication	Totowa, NJ (US)
Publisher	Humana Press
Number of pages	438
ISBN (Electronic)	978-1-60327-118-9
ISBN (Print)	978-1-58829-699-3
Publication status	Published - 16 Jul 2007

Publication series

Name	Methods in molecular biology
Publisher	Humana Press
Volume	409
ISSN (Print)	1064-3745
ISSN (Electronic)	1940-6029

Cite this

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Immunoinformatics: predicting immunogenicity in silico

Abstract

Publication series

Other files and links

Fingerprint

Immunoinformatics and the in silico prediction of immunogenicity: an introduction

In silico prediction of peptide-MHC binding affinity using SVRMHC

Molecular dynamics simulations: bring biomolecular structures alive on a computer

Cite this