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Bioinformatics for Vaccinology
book

Bioinformatics for Vaccinology

by Darren R. Flower
December 2008
Intermediate to advanced
312 pages
11h 3m
English
Wiley
Content preview from Bioinformatics for Vaccinology

Index

Note: Figures and Tables are denoted by italic page numbers

3D-QSAR techniques 236–7

see also quantitative structure activity relationships

AA-QSPR database 126

AAindex 187, 194

ABC transporters 103

ABCpred method 171, 211

accessibility scale(s), in epitope prediction 211

accuracy of epitope prediction, assessing 199–202

acellular vaccines 51, 81, 273

acquired immune deficiency syndrome (AIDS) 62, 63

active immunity 80, 86

adaptive immunity 86, 88–9

adhesins 273

adjuvants 83, 274

innate immunity and 245–6

virtual screening and 244–5, 246–8

ADMET screens 247

affinity measures 175–7

Africa, variolation used in 6, 15

al-Razi, Abu Bakr Muhammad ibn-Zakariyya 2–3

allele(s) 96

nomenclature 97–8

allergen databases 150, 163–4

allergen prediction servers 171

alloreactivity 235–6

alphabets, amino acid sequences in terms of 130, 133

alternative splicing 181

alum-based adjuvants 245

amino acids 124–35

charge(s) 135

chemical structure 125

chirality 127–9

classification 134

codons encoding 126, 131

as components of peptides and proteins 121, 122, 124, 126

databases 126–7

functions 127

hydrogen bonding and 135–6

newly discovered 132

nomenclature 130–4

pKa values 141, 142

properties 131, 134–8, 141–6, 187, 194–5

preference values 143

z scales 194, 195

representation in peptides 187

size(MW) 131, 135

ampholytes 137–8

Amyand, Claude 13, 14

analysis, compared with prediction 278

anergy 94

annotation of databases 152–3

anthrax reservoirs 57

vaccine 31, 41

antibiotic-resistance bacteria 61, ...

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Publisher Resources

ISBN: 9780470027110Purchase book