A systematic bioinformatics approach for large-scale identification and characterization of host-pathogen shared sequences.

James, Stephen Among; Ong, Hui San; Hari, Ranjeev; Khan, Asif M

James, Stephen Among; Ong, Hui San; Hari, Ranjeev; Khan, Asif M.

Afiliación

James SA; Centre for Bioinformatics, School of Data Sciences, Perdana University, Damansara Heights, Kuala Lumpur, 50490, Malaysia.
Ong HS; Department of Biochemistry, Faculty of Science, Kaduna State University, Kaduna, 800211, Nigeria.
Hari R; Centre for Bioinformatics, School of Data Sciences, Perdana University, Damansara Heights, Kuala Lumpur, 50490, Malaysia.
Khan AM; Centre for Bioinformatics, School of Data Sciences, Perdana University, Damansara Heights, Kuala Lumpur, 50490, Malaysia.

BMC Genomics ; 22(Suppl 3): 700, 2021 Sep 28.

Article en En | MEDLINE | ID: mdl-34583643

Asunto(s)

Flaviviridae; Infección por el Virus Zika; Virus Zika; Biología Computacional; Hepacivirus; Humanos; Filogenia; Virus Zika/genética

Palabras clave

Bioinformatics; Cross-reactivity; Crossreactome; Dengue virus; Flaviviridae; Flavivirus; Hepacivirus; Hepatitis C virus; Host-pathogen; Large-scale; Methodology; Pegivirus; Peptide overlap; Peptide sharing; Pestivirus; Share-ome; Shared sequences; West Nile virus; and Molecular mimicry.

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Flaviviridae / Virus Zika / Infección por el Virus Zika Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2021 Tipo del documento: Article País de afiliación: Malasia

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