On the application of reverse vaccinology to parasitic diseases: a perspective on feature selection and ranking of vaccine candidates

International Journal for Parasitology

Volumn 47, Issue 12, 2017, Pages 779-790

  Goodswen, Stephen J ^a   Kennedy, Paul J ^a   Ellis, John T ^a  

^a UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

In silico vaccine discovery; Machine learning; Neospora caninum; Pathogen associated molecular patterns; Reverse vaccinology

Indexed keywords

PATHOGEN ASSOCIATED MOLECULAR PATTERN; PROTOZOAL PROTEIN; PROTOZOAL VACCINE; MESSENGER RNA; MHC BINDING PEPTIDE; OLIGOPEPTIDE; PARASITE ANTIGEN;

MACHINE LEARNING; PARASITE; PARASITIC DISEASE; PATHOGEN; PATHOGENICITY; VACCINATION; VACCINE;

AMINO ACID SEQUENCE; ARTICLE; BIOINFORMATICS; CONTROLLED STUDY; EXPRESSED SEQUENCE TAG; IMMUNE RESPONSE; MOLECULAR GENETIC PHENOMENA AND FUNCTIONS; NEOSPORA CANINUM; NEOSPOROSIS; NONHUMAN; PARASITOSIS; PREDICTION; PROTEIN ANALYSIS; REVERSE VACCINOLOGY; RNA SEQUENCE; ANIMAL; BOVINE; CHEMISTRY; CLASSIFICATION; EXON; GENETICS; IC50; IMMUNOLOGY; METABOLISM; MOLECULAR GENETICS; NEOSPORA; NUCLEOTIDE SEQUENCE;

BOS; NEOSPORA; NEOSPORA CANINUM; PROTOZOA;

ANIMALS; ANTIGENS, PROTOZOAN; BASE SEQUENCE; CATTLE; EXONS; EXPRESSED SEQUENCE TAGS; INHIBITORY CONCENTRATION 50; MOLECULAR SEQUENCE ANNOTATION; NEOSPORA; OLIGOPEPTIDES; PROTOZOAN PROTEINS; PROTOZOAN VACCINES; RNA, MESSENGER;

EID: 85029527552     PISSN: 00207519     EISSN: 18790135     Source Type: Journal    
DOI: 10.1016/j.ijpara.2017.08.004     Document Type: Article

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