RRE-Finder

RRE-Finder identifies Ribosomally Synthesized and Post-translationally Modified Peptide (RiPP) recognition elements (RREs) in protein sequences to enable discovery and analysis of RRE-dependent RiPP biosynthetic pathways.


Key Features:

  • Class-Independent Discovery: Identifies RRE domains with high sensitivity across diverse RiPP biosynthetic gene clusters (BGCs).
  • Precision Mode: Reports high-confidence RREs and, when applied to UniProtKB, retrieved over 30,000 high-confidence RREs spanning all characterized RRE-dependent RiPP classes.
  • Exploratory Mode: Identifies putative RREs and novel RiPP gene cluster architectures to assist discovery of new RiPP classes.
  • RRE:Precursor Interaction Analysis: Enables analysis and prediction of RRE:precursor peptide interactions, reflecting the high affinity and specificity of these complexes.
  • Evolutionary Insights: Provides sequence data used to explore potential evolutionary origins and diversification of the RRE domain.

Scientific Applications:

  • RiPP Biosynthetic Diversity Exploration: Enables large-scale surveys of RRE-dependent RiPPs across genomes and protein databases.
  • Novel RiPP Class Discovery: Supports identification of new RiPP classes and novel gene cluster architectures.
  • Biochemical Studies of Peptide Maturation: Supplies RRE sequence datasets to support biochemical characterization of precursor peptide binding and post-translational modification enzymes.
  • Biotechnology: Informs engineering of RRE:precursor interactions for biotechnological applications.

Methodology:

Accepts protein input in .fasta and .genbank formats, accepts antiSMASH output via a .final.gbk file with the '--antismash ripp' option, and Precision Mode was applied to UniProtKB to retrieve over 30,000 high-confidence RREs.

Topics

Details

Programming Languages:
Python
Added:
1/18/2021
Last Updated:
2/8/2021

Operations

Publications

Kloosterman AM, Shelton KE, van Wezel GP, Medema MH, Mitchell DA. RRE-Finder: A Genome-Mining Tool for Class-Independent RiPP Discovery. Unknown Journal. 2020. doi:10.1101/2020.03.14.992123.