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Norine: Bioinformatics Methods and Tools for the Characterization of Newly Discovered Nonribosomal Peptides.
Flissi, Areski; Duban, Matthieu; Jacques, Philippe; Leclère, Valérie; Pupin, Maude.
Affiliation
  • 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 in 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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Computational Biology Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2023 Document type: Article Affiliation country: France
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Peptides / Computational Biology Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2023 Document type: Article Affiliation country: France