Your browser doesn't support javascript.
loading
Norine: Bioinformatics Methods and Tools for the Characterization of Newly Discovered Nonribosomal Peptides.
Flissi, Areski; Duban, Matthieu; Jacques, Philippe; Leclère, Valérie; Pupin, Maude.
Afiliação
  • Flissi A; Université de Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, Lille, France. areski.flissi@univ-lille.fr.
  • Duban M; Université de Lille, UMRt BioEcoAgro 1158-INRAe, Métabolites secondaires d'origine microbienne, Charles Viollette Institute, Lille, France.
  • Jacques P; Université de Liège, UMRt BioEcoAgro 1158-INRAe, Métabolites secondaires d'origine microbienne, TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, Gembloux, Belgium.
  • Leclère V; Université de Lille, UMRt BioEcoAgro 1158-INRAe, Métabolites secondaires d'origine microbienne, Charles Viollette Institute, Lille, France.
  • Pupin M; Université de Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, Lille, France.
Methods Mol Biol ; 2670: 303-318, 2023.
Article em En | MEDLINE | ID: mdl-37184712
ABSTRACT
In this chapter, we present Norine ( https//norine.univ-lille.fr/norine ), the unique resource dedicated to nonribosomal peptides. First, the content of the knowledgebase and the related tools are described. Then, a study case shows how to query Norine by annotations or structure and how to interpret the obtained results.
Assuntos
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Biologia Computacional Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Peptídeos / Biologia Computacional Idioma: En Ano de publicação: 2023 Tipo de documento: Article