About: Prediction of Virulence Factors Using Bioinformatics Approaches

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Prediction of Virulence Factors Using Bioinformatics Approaches
Creator	Chaudhuri, Rupanjali Ramachandran, Srinivasan
Source	Medline; PMC
abstract	Virulence factors produced by a pathogen are essential for causing disease in the host. They enable the pathogen to establish itself within the host thus enhancing its potential to cause disease and in some instances underlie evasion of host defense mechanisms. Identification of these molecules, especially those of immunological interest and their use in vaccine development are attractive and are among the initial steps of reverse vaccinology. Surface localized virulence factors such as adhesins serve as excellent immunogenic candidates in this regard. In this chapter we have described the bioinformatics approaches for adhesin prediction, which include specific adhesin prediction algorithms.
has issue date	2014-05-06(xsd:dateTime)
bibo:doi	10.1007/978-1-4939-1115-8_22
bibo:pmid	25048137
has license	no-cc
sha1sum (hex)	f79321a7b375892794ff14cf43c7ef9d01101b2c
schema:url	https://doi.org/10.1007/978-1-4939-1115-8_22
resource representing a document's title	Prediction of Virulence Factors Using Bioinformatics Approaches
has PubMed Central identifier	PMC7123293
has PubMed identifier	25048137
schema:publication	Immunoinformatics
resource representing a document's body	covid:f79321a7b375892794ff14cf43c7ef9d01101b2c#body_text
is schema:about of	named entity 'steps' named entity 'host' named entity 'ATTRACTIVE' named entity 'CHAPTER' named entity 'HAVE' named entity 'DEFENSE MECHANISMS' named entity 'ENABLE' named entity 'INCLUDE' named entity 'INITIAL' named entity 'PATHOGEN' named entity 'REGARD' named entity 'ADHESINS' named entity 'INTEREST' named entity 'APPROACHES' named entity 'BIOINFORMATICS' named entity 'IMMUNOGENIC' named entity 'THEIR' named entity 'HOST' named entity 'CAUSING' named entity 'USING' named entity 'VIRULENCE FACTORS' named entity 'PREDICTION' named entity 'THESE' named entity 'SERVE' named entity 'CATION' named entity 'HOST DEFENSE' named entity 'BIOINFORMATICS' named entity 'APPROACHES' named entity 'MOLECULES' named entity 'IMMUNOLOGICAL' named entity 'STEPS' named entity 'ITS' named entity 'USE' named entity 'ENHANCING' named entity 'DISEASE' named entity 'EXCELLENT' named entity 'VIRULENCE FACTORS' named entity 'ESTABLISH' named entity 'LOCALIZED' named entity 'TO CAUSE DISEASE' named entity 'ESSENTIAL' named entity 'VACCINE DEVELOPMENT' named entity 'SURFACE' named entity 'PREDICTION ALGORITHMS' named entity 'POTENTIAL' named entity 'DESCRIBED' named entity 'attractive' named entity 'enable' named entity 'adhesins' named entity 'immunogenic' named entity 'EMBOSS' named entity 'host cells' named entity 'pathogen' named entity 'pertactin' named entity 'protein sequence' named entity 'produced' named entity 'cation' named entity 'reverse vaccinology' named entity 'causing disease' named entity 'adhesin' named entity 'Bioinformatics' named entity 'vaccine' named entity 'BLAST search' named entity 'protein sequences' named entity 'adhesin' named entity 'tripeptide' named entity 'Coccidioides immitis' named entity 'false positives' named entity 'membrane protein' named entity 'adhesin' named entity 'MCC' named entity 'orthologues' named entity 'adhesin' named entity 'lipids' named entity 'host tissues' named entity 'Fimbrial' named entity 'adhesin' named entity 'cell surface' named entity 'FASTA format' named entity 'Helicobacter pylori'

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