Abstract
Summary: Phylogenetic analysis is widely used to predict enzyme function, yet building annotated and reusable trees is labor-intensive and requires extensive knowledge about the specific enzymes. Existing resources rarely cover biosynthetic enzymes and lack the context needed for meaningful analysis.We present PhyloNaP, the first large-scale resource dedicated to phylogenies of biosynthetic enzymes. PhyloNaP provides ∼51,000 annotated and interactive trees enriched with chemical, functional, and taxonomic information. Users can classify their own sequences via phylogenetic placement, enabling functional inference in an evolutionary context. A contribution portal allows the community to submit curated trees. By combining scale, breadth of annotation, and interactive functionality, PhyloNaP fills a major gap in bioinformatics resources for enzyme discovery and annotation, with immediate applications to secondary metabolism and beyond.
Availability and implementation: Freely available on the web at https://phylonap.cs.uni-tuebingen.de. Supplementary data are available at Bioinformatics online.
Availability and implementation: Freely available on the web at https://phylonap.cs.uni-tuebingen.de. Supplementary data are available at Bioinformatics online.
| Original language | English |
|---|---|
| Article number | btag393 |
| Journal | Bioinformatics |
| Volume | 42 |
| Issue number | 7 |
| Number of pages | 6 |
| ISSN | 1367-4803 |
| DOIs | |
| Publication status | Published - 2026 |
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