Norine: Bioinformatics Methods and Tools for the Characterization of Newly Discovered Nonribosomal Peptides

Areski Flissi; Matthieu Duban; Philippe Jacques; Valérie Leclère; Maude Pupin

doi:10.1007/978-1-0716-3214-7_16

Norine: Bioinformatics Methods and Tools for the Characterization of Newly Discovered Nonribosomal Peptides

Methods Mol Biol. 2023:2670:303-318. doi: 10.1007/978-1-0716-3214-7_16.

Authors

Areski Flissi¹, Matthieu Duban², Philippe Jacques³, Valérie Leclère², Maude Pupin⁴

Affiliations

¹ Université de Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, Lille, France. areski.flissi@univ-lille.fr.
² Université de Lille, UMRt BioEcoAgro 1158-INRAe, Métabolites secondaires d'origine microbienne, Charles Viollette Institute, Lille, France.
³ Université de Liège, UMRt BioEcoAgro 1158-INRAe, Métabolites secondaires d'origine microbienne, TERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, Gembloux, Belgium.
⁴ Université de Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, Lille, France.

PMID: 37184712
DOI: 10.1007/978-1-0716-3214-7_16

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.

Keywords: Bioinformatics chemoinformatics; NRPS; Nonribosomal peptides; Norine.

MeSH terms

Computational Biology*
Knowledge Bases
Peptide Synthases
Peptides* / chemistry

Substances

Peptides
Peptide Synthases