KIPEs
KIPEs (Knowledge-based Identification of Pathway Enzymes) is a web-based tool for the automated identification and functional annotation of enzymes involved in plant biosynthetic pathways. Using curated reference sequences, functionally relevant amino acid residues, and orthology-based inference, KIPEs identifies candidate genes in coding DNA (CDS), peptide, or transcriptome datasets and predicts their likely biological functions. The current release supports the annotation of enzymes involved in flavonoid biosynthesis (including decoration enzymes and transport proteins) as well as carotenoid biosynthesis. The tool is designed to facilitate the rapid characterization of metabolic pathways in newly sequenced plant species without requiring manual preparation of reference datasets.
Key benefits
Automated identification of pathway enzymes from CDS, peptide, or transcriptome data
Functional annotation based on orthology and conserved functional residues
Detection of functionally important amino acid motifs and catalytic sites
No manual preparation of reference datasets required
Fast and reproducible annotation workflow for newly sequenced species
Produces annotated candidate sequences together with detailed summary reports
Applications
Annotation of enzymes involved in plant biosynthetic pathways
Identification of candidate genes in genome and transcriptome assemblies
Functional characterization of metabolic pathways
Comparative genomics of biosynthetic gene families
Evolutionary analysis of plant metabolism
Candidate gene discovery for functional genomics and metabolic engineering
Intended use
KIPEs is intended for plant biologists, genome annotation specialists, bioinformaticians, and evolutionary researchers working with plant genome or transcriptome data. It is particularly suited for users seeking an automated and standardized workflow for the identification and functional annotation of enzymes involved in specialized plant metabolism.