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Mat_peptide: comprehensive annotation of mature peptides from polyproteins in five virus families.
Larsen, Christopher N; Sun, Guangyu; Li, Xiaomei; Zaremba, Sam; Zhao, Hongtao; He, Sherry; Zhou, Liwei; Kumar, Sanjeev; Desborough, Vince; Klem, Edward B.
Afiliação
  • Larsen CN; Vecna Technologies, Inc., Greenbelt, MD 20770.
  • Sun G; Vecna Technologies, Inc., Greenbelt, MD 20770.
  • Li X; Northrop Grumman, Rockville, MD 20850, USA.
  • Zaremba S; Northrop Grumman, Rockville, MD 20850, USA.
  • Zhao H; Northrop Grumman, Rockville, MD 20850, USA.
  • He S; Northrop Grumman, Rockville, MD 20850, USA.
  • Zhou L; Northrop Grumman, Rockville, MD 20850, USA.
  • Kumar S; Northrop Grumman, Rockville, MD 20850, USA.
  • Desborough V; Northrop Grumman, Rockville, MD 20850, USA.
  • Klem EB; Northrop Grumman, Rockville, MD 20850, USA.
Bioinformatics ; 36(5): 1627-1628, 2020 03 01.
Article em En | MEDLINE | ID: mdl-31609421
ABSTRACT
MOTIVATION Sequence repositories have few well-annotated virus mature peptide sequences. Therefore post-translational proteolytic processing of polyproteins into mature peptides (MPs) has been performed in silico, with a new computational method, for over 200 species in 5 pathogenic virus families (Caliciviridae, Coronaviridae, Flaviviridae, Picornaviridae and Togaviridae).

RESULTS:

Using pairwise alignment with reference sequences, MPs have been annotated and their sequences made available for search, analysis and download. At publication the method had produced 156 216 sequences, a large portion of the protein sequences now available in https//www.viprbrc.org. It represents a new and comprehensive mature peptide collection. AVAILABILITY AND IMPLEMENTATION The data are available at the Virus Pathogen Resource https//www.viprbrc.org, and the software at https//github.com/VirusBRC/vipr_mat_peptide.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vírus / Poliproteínas Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vírus / Poliproteínas Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article